Scan report
NNTmux / newznab-tmux
Could an attacker exploit mistakes in this code?
Serious issues. Review the high-severity findings before using it.
- High
- 17
- Medium
- 29
- Low
- 9
Sources: Bandit, Semgrep, pip-audit
Does this code look like it is trying to cause harm?
Real issues worth reviewing before you rely on this code.
- High
- 16
- Medium
- 0
- Low
- 25
Sources: YARA, ClamAV, GuardDog, dependency checker
- Likely real
- 34
- Uncertain
- 13
- Likely noise
- 49
The risk classifier rates every finding for how likely it is to be a real issue. Likely noise still counts, just much less.
What we found, in plain English
This repository has a high vulnerability score of 140.0, which means there are many dangerous coding patterns that an attacker could easily exploit to break into your system. While the code does contain some signs of malicious intent, most of these issues appear to be standard mistakes in how developers write software rather than intentional attacks. The scan found several critical problems, including SQL injection vulnerabilities where user data is directly inserted into database queries without proper protection. It also flagged access to sensitive files like credentials and configuration keys, as well as commands that could be used to execute arbitrary code if the input is not handled correctly. Additionally, there are concerns about how secrets are stored and permissions on files that might grant too much access to unintended users. The presence of YARA rules indicates that the codebase may contain malware evasion techniques or even attempts to download and run malicious scripts. Despite these serious findings, the developer should still proceed with caution and apply fixes for the high-risk issues before deploying anything to production.
Written by a local language model from the findings below. The risk scores come from the classifier, not from this summary.
Detections by engine
Score over time
Overall score each time this repository was scanned.
Findings
Highest severity first. Select a finding to see the code and what it means.
-
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/ConsoleService.php line 210
- Likely real
- Yes, 98% confidence
Untrusted input might be used to build a database query, which can lead to a SQL injection vulnerability. An attacker can execute malicious SQL statements and gain unauthorized access to sensitive data, modify, delete data, or execute arbitrary system commands. To prevent this vulnerability, use prepared statements that do not concatenate user-controllable strings and use parameterized queries where SQL commands and user data are strictly separated. Also, consider using an object-relational (ORM) framework to operate with safer abstractions. To build SQL queries safely in PHP, it is possible to adopt prepared statements by using `PDO` with bind variables using `bindParam()`.
$totalResult = DB::select($countSql); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/MusicService.php line 192
- Likely real
- Yes, 98% confidence
Untrusted input might be used to build a database query, which can lead to a SQL injection vulnerability. An attacker can execute malicious SQL statements and gain unauthorized access to sensitive data, modify, delete data, or execute arbitrary system commands. To prevent this vulnerability, use prepared statements that do not concatenate user-controllable strings and use parameterized queries where SQL commands and user data are strictly separated. Also, consider using an object-relational (ORM) framework to operate with safer abstractions. To build SQL queries safely in PHP, it is possible to adopt prepared statements by using `PDO` with bind variables using `bindParam()`.
$totalResult = DB::select($countSql); -
- Engine
- GuardDog · Supply-chain attack heuristics
- Counts towards
- Malicious pattern
- File
- /deploy/baremetal/host.py line 285
- Likely real
- Yes, 96% confidence
Detects access to sensitive files (credentials, configs, keys) [threat-filesystem-read]
(path / ".env").unlink(missing_ok=True) (path / ".env").symlink_to(env_path) storage = ROOT / "shared/storage" for directory in [ -
- Engine
- GuardDog · Supply-chain attack heuristics
- Counts towards
- Malicious pattern
- File
- /deploy/baremetal/host.py line 284
- Likely real
- Yes, 96% confidence
Detects access to sensitive files (credentials, configs, keys) [threat-filesystem-read]
run(["chown", "root:nntmux", env_path, cfg / (commit + ".json")]) (path / ".env").unlink(missing_ok=True) (path / ".env").symlink_to(env_path) storage = ROOT / "shared/storage" -
- Engine
- GuardDog · Supply-chain attack heuristics
- Counts towards
- Malicious pattern
- File
- /deploy/baremetal/host.py line 280
- Likely real
- Yes, 96% confidence
Detects access to sensitive files (credentials, configs, keys) [threat-filesystem-read]
atomic_json(cfg / (commit + ".json"), values, 0o640) env_path = cfg / (commit + ".env") env_path.write_text(dotenv(values)) os.chmod(env_path, 0o640) -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/ConsoleService.php line 205
- Likely real
- Yes, 56% confidence
User data flows into this manually-constructed SQL string. User data can be safely inserted into SQL strings using prepared statements or an object-relational mapper (ORM). Manually-constructed SQL strings is a possible indicator of SQL injection, which could let an attacker steal or manipulate data from the database. Instead, use prepared statements (`$mysqli->prepare("INSERT INTO test(id, label) VALUES (?, ?)");`) or a safe library.
$countSql = 'SELECT COUNT(DISTINCT con.id) AS total ' .'FROM consoleinfo con ' .'INNER JOIN releases r ON con.id = r.consoleinfo_id ' .'WHERE '.$baseWhere; -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/ConsoleService.php line 218
- Likely real
- Yes, 56% confidence
User data flows into this manually-constructed SQL string. User data can be safely inserted into SQL strings using prepared statements or an object-relational mapper (ORM). Manually-constructed SQL strings is a possible indicator of SQL injection, which could let an attacker steal or manipulate data from the database. Instead, use prepared statements (`$mysqli->prepare("INSERT INTO test(id, label) VALUES (?, ?)");`) or a safe library.
$consoleSql = 'SELECT con.id, con.title, con.cover, con.publisher, con.releasedate, con.review, con.url, ' .'con.genres_id, genres.title AS genre, ' .'MAX(r.postdate) AS latest_postdate, ' .'COUNT(r.id) AS total_releases ' .'FROM consoleinfo con ' .'INNER JOIN releases r ON con.id = r.consoleinfo_id ' .'LEFT JOIN genres ON con.genres_id = genres.id ' .'WHERE '.$baseWhere.' ' .'GROUP BY con.id, con.title, con.cover, con.publisher, con.releasedate, con.review, con.url, con.genres_id, genres.title ' ."ORDER BY {$order[0]} {$order[1]} " ."LIMIT {$num} OFFSET {$start}"; -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/MusicService.php line 187
- Likely real
- Yes, 56% confidence
User data flows into this manually-constructed SQL string. User data can be safely inserted into SQL strings using prepared statements or an object-relational mapper (ORM). Manually-constructed SQL strings is a possible indicator of SQL injection, which could let an attacker steal or manipulate data from the database. Instead, use prepared statements (`$mysqli->prepare("INSERT INTO test(id, label) VALUES (?, ?)");`) or a safe library.
$countSql = 'SELECT COUNT(DISTINCT m.id) AS total ' .'FROM musicinfo m ' .'INNER JOIN releases r ON r.musicinfo_id = m.id ' .'WHERE '.$baseWhere; -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/MusicService.php line 200
- Likely real
- Yes, 56% confidence
User data flows into this manually-constructed SQL string. User data can be safely inserted into SQL strings using prepared statements or an object-relational mapper (ORM). Manually-constructed SQL strings is a possible indicator of SQL injection, which could let an attacker steal or manipulate data from the database. Instead, use prepared statements (`$mysqli->prepare("INSERT INTO test(id, label) VALUES (?, ?)");`) or a safe library.
$musicSql = 'SELECT m.id, m.title, m.artist, m.cover, m.publisher, m.releasedate, m.review, m.url, m.year, ' .'m.genres_id, ' .'MAX(r.postdate) AS latest_postdate, ' .'COUNT(r.id) AS total_releases ' .'FROM musicinfo m ' .'INNER JOIN releases r ON r.musicinfo_id = m.id ' .'WHERE '.$baseWhere.' ' .'GROUP BY m.id, m.title, m.artist, m.cover, m.publisher, m.releasedate, m.review, m.url, m.year, m.genres_id ' ."ORDER BY {$order[0]} {$order[1]} " ."LIMIT {$num} OFFSET {$start}"; -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.env.example line 271
- Likely real
- Yes, 52% confidence
Generic API Key detected
TMDB_APIKEY=9a4e16adddcd1e86da19bcaf5ff3c2a3 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Console/Commands/NntmuxESReindex.php line 41
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
passthru('php '.app()->/* @scrutinizer ignore-call */ path().'/../misc/elasticsearch/populate_es_indexes.php releases'); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Console/Commands/NntmuxESReindex.php line 40
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
passthru('php '.app()->/* @scrutinizer ignore-call */ path().'/../misc/elasticsearch/create_es_indexes.php'); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Console/Commands/NntmuxESReindex.php line 42
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
passthru('php '.app()->/* @scrutinizer ignore-call */ path().'/../misc/elasticsearch/populate_es_indexes.php predb'); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/Tmux/TmuxSessionManager.php line 125
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
passthru('tmux attach-session -t '.escapeshellarg($this->sessionName), $exitCode); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /scripts/benchmark-yenc.php line 120
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
$process = proc_open($command, [0 => ['pipe', 'r'], 1 => ['pipe', 'w'], 2 => ['pipe', 'w']], $pipes); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/Tmux/Scripts/groupfixrelnames.php line 49
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
passthru($command, $exitCode); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/Tmux/Scripts/monitor.php line 18
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
passthru("php {$artisan} tmux:monitor {$argString}", $exitCode); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/Tmux/Scripts/postprocess_pre.php line 18
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
passthru($command, $exitCode); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/Tmux/Scripts/update_groups.php line 15
- Likely real
- Uncertain, 43% confidence
Executing non-constant commands. This can lead to command injection.
passthru("php {$artisan} groups:update", $exitCode); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /docker/8.5/Dockerfile line 104
- Likely real
- Probably noise, 22% confidence
By not specifying a USER, a program in the container may run as 'root'. This is a security hazard. If an attacker can control a process running as root, they may have control over the container. Ensure that the last USER in a Dockerfile is a USER other than 'root'.
ENTRYPOINT ["start-container"] -
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /scripts/benchmark-yenc.php
- Likely real
- Probably noise, 18% confidence
YARA rule matched: detect_anti_analysis — Checks for a debugger, VM, or sandbox before continuing - a common malware evasion technique, essentially never present in ordinary application code
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /public/js/filament/forms/components/file-upload.js
- Likely real
- Probably noise, 3% confidence
YARA rule matched: detect_base64_exec — Encoded payload decoded and then executed
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /public/vendor/horizon/app.js
- Likely real
- Probably noise, 3% confidence
YARA rule matched: detect_base64_exec — Encoded payload decoded and then executed
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /scripts/build-rapidyenc.sh
- Likely real
- Probably noise, 1% confidence
YARA rule matched: detect_download_and_execute — Downloads a remote resource AND executes it - the actually dangerous combination, not just downloading alone
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /public/vendor/horizon/js/app.js
- Likely real
- Probably noise, 1% confidence
YARA rule matched: detect_obfuscated_string_execution — Reconstructs a string character-by-character or from hex escapes, then immediately executes it - fromCharCode/chr() alone are common in ordinary text-processing code, so this requires both the reconstruction and an execution call together
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /public/vendor/horizon/js/app.js.map
- Likely real
- Probably noise, 1% confidence
YARA rule matched: detect_obfuscated_string_execution — Reconstructs a string character-by-character or from hex escapes, then immediately executes it - fromCharCode/chr() alone are common in ordinary text-processing code, so this requires both the reconstruction and an execution call together
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /public/vendor/telescope/app.js
- Likely real
- Probably noise, 1% confidence
YARA rule matched: detect_obfuscated_string_execution — Reconstructs a string character-by-character or from hex escapes, then immediately executes it - fromCharCode/chr() alone are common in ordinary text-processing code, so this requires both the reconstruction and an execution call together
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /public/js/filament/forms/components/markdown-editor.js
- Likely real
- Probably noise, 1% confidence
YARA rule matched: detect_obfuscated_string_execution — Reconstructs a string character-by-character or from hex escapes, then immediately executes it - fromCharCode/chr() alone are common in ordinary text-processing code, so this requires both the reconstruction and an execution call together
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /public/js/filament/filament/echo.js
- Likely real
- Probably noise, 1% confidence
YARA rule matched: detect_obfuscated_string_execution — Reconstructs a string character-by-character or from hex escapes, then immediately executes it - fromCharCode/chr() alone are common in ordinary text-processing code, so this requires both the reconstruction and an execution call together
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /docker/8.5/Dockerfile
- Likely real
- Probably noise, 0% confidence
YARA rule matched: detect_persistence_mechanism — Modifies a startup/scheduling location - legitimate application code essentially never does this
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /deploy/select.sh
- Likely real
- Probably noise, 0% confidence
YARA rule matched: detect_persistence_mechanism — Modifies a startup/scheduling location - legitimate application code essentially never does this
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /deploy/cloud/deploy.sh
- Likely real
- Probably noise, 0% confidence
YARA rule matched: detect_persistence_mechanism — Modifies a startup/scheduling location - legitimate application code essentially never does this
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /infra/terraform/aws/cloud-init.yaml.tftpl
- Likely real
- Probably noise, 0% confidence
YARA rule matched: detect_persistence_mechanism — Modifies a startup/scheduling location - legitimate application code essentially never does this
-
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /resources/js/alpine/components/search-autocomplete.js line 138
- Likely real
- Yes, 100% confidence
RegExp() called with a `query` function argument, this might allow an attacker to cause a Regular Expression Denial-of-Service (ReDoS) within your application as RegExP blocks the main thread. For this reason, it is recommended to use hardcoded regexes instead. If your regex is run on user-controlled input, consider performing input validation or use a regex checking/sanitization library such as https://www.npmjs.com/package/recheck to verify that the regex does not appear vulnerable to ReDoS.
var regex = new RegExp('(' + escapeRegex(query) + ')', 'gi'); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /infra/terraform/aws/main.tf line 123
- Likely real
- Yes, 100% confidence
By default, AWS SecretManager secrets are encrypted using AWS-managed keys. However, for added security, it's recommended to configure your own AWS KMS encryption key to protect your secrets in the Secret Manager. You can either create a new aws_kms_key resource or use the ARN of an existing key in your AWS account to do so.
resource "aws_secretsmanager_secret" "application" { name = "${local.name}/application" description = "Operator-populated dotenv configuration; Terraform never manages secret values" recovery_window_in_days = 30 } -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /infra/terraform/aws/main.tf line 100
- Likely real
- Yes, 100% confidence
Ensure EBS Volume is encrypted at rest using KMS CMKs. CMKs gives you control over the encryption key in terms of access and rotation.
resource "aws_ebs_volume" "data" { availability_zone = var.availability_zone type = "gp3" size = var.data_volume_size encrypted = true tags = { Name = "${local.name}-data" } lifecycle { prevent_destroy = true ignore_changes = [snapshot_id] } } -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/host.py line 773
- Likely real
- Yes, 100% confidence
These permissions `0o700` are widely permissive and grant access to more people than may be necessary. A good default is `0o644` which gives read and write access to yourself and read access to everyone else.
os.chmod(stage, 0o700) -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /infra/terraform/aws/main.tf line 169
- Likely real
- Yes, 99% confidence
EC2 instances should not have a public IP address attached in order to block public access to the instances. To fix this, set your `associate_public_ip_address` to `"false"`.
resource "aws_instance" "application" { ami = data.aws_ami.ubuntu.id instance_type = var.instance_type availability_zone = var.availability_zone subnet_id = aws_subnet.application.id vpc_security_group_ids = [aws_security_group.application.id] associate_public_ip_address = true iam_instance_profile = aws_iam_instance_profile.application.name metadata_options { http_endpoint = "enabled" http_tokens = "required" http_put_response_hop_limit = 1 } root_block_device { volume_type = "gp3" volume_size = var.root_volume_size encrypted = true } user_data = templatefile("${path.module}/cloud-init.yaml.tftpl", { host_config = base64encode(jsonencode({ provider = "aws" region = var.aws_region, deployment = local.name, hostname = var.hostname data_volume_id = aws_ebs_volume.data.id, secret_arn = aws_secretsmanager_secret.application.arn repository = aws_ecr_repository.application.repository_url assets_bucket = aws_s3_bucket.assets.id, assets_prefix = local.asset_prefix })) assets_bucket = aws_s3_bucket.assets.id assets_prefix = local.asset_prefix region = var.aws_region }) tags = { Name = local.name } lifecycle { ignore_changes = [ami, user_data] } depends_on = [aws_route.internet, aws_route_table_association.application, aws_s3_object.assets, aws_iam_role_policy.application] } -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/dependabot.yml line 8
- Likely real
- Yes, 99% confidence
This Dependabot configuration does not set a cooldown period. Newly published packages can be malicious or unstable. Add a `cooldown` block with `default-days: 7` to each `package-ecosystem` entry under `updates` to wait 7 days before proposing updates to newly published package versions. Reference: https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#cooldown
- package-ecosystem: "composer" directory: "/" # Location of package manifests schedule: interval: "weekly" -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /server.php line 15
- Likely real
- Yes, 55% confidence
File name based on user input risks server-side request forgery.
if ($uri !== '/' && file_exists(__DIR__.'/public'.$uri)) { -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/laravel.yml line 41
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
uses: actions/cache@v4 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/add_label_to_issue.yml line 12
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/github-script@v6 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/add_label_to_reopened_issue.yml line 12
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/github-script@v6 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/close_inactive_issues.yml line 13
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/stale@v5 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/laravel.yml line 17
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/checkout@v5 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/laravel.yml line 20
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
uses: shivammathur/setup-php@v2 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 45
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/checkout@v5 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 132
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
uses: aquasecurity/trivy-action@v0.36.0 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 124
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: shivammathur/setup-php@v2 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 112
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/checkout@v5 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 96
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/checkout@v5 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 82
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: shivammathur/setup-php@v2 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 66
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/setup-python@v5 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 65
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: actions/checkout@v5 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 49
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: terraform-linters/setup-tflint@v4 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /.github/workflows/terraform.yml line 46
- Likely real
- Yes, 52% confidence
GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608`.
- uses: hashicorp/setup-terraform@v3 -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /public/js/filament/widgets/components/chart.js line 1
- Likely real
- Uncertain, 45% confidence
Possibility of prototype polluting function detected. By adding or modifying attributes of an object prototype, it is possible to create attributes that exist on every object, or replace critical attributes with malicious ones. This can be problematic if the software depends on existence or non-existence of certain attributes, or uses pre-defined attributes of object prototype (such as hasOwnProperty, toString or valueOf). Possible mitigations might be: freezing the object prototype, using an object without prototypes (via Object.create(null) ), blocking modifications of attributes that resolve to object prototype, using Map instead of object.
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0,{animated:!a,options:c},t),this.updateElements(n,r,l,t)}updateElements(t,e,s,n){let o=n==="reset",{iScale:a,vScale:r,_stacked:l,_dataset:c}=this._cachedMeta,{sharedOptions:h,includeOptions:d}=this._getSharedOptions(e,n),u=a.axis,f=r.axis,{spanGaps:g,segment:p}=this.options,m=Et(g)?g:Number.POSITIVE_INFINITY,b=this.chart._animationsDisabled||o||n==="none",x=e>0&&this.getParsed(e-1);for(let v=e;v<e+s;++v){let y=t[v],_=this.getParsed(v),M=b?y:{},w=T(_[f]),S=M[u]=a.getPixelForValue(_[u],v),k=M[f]=o||w?r.getBasePi...[truncated] -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /public/js/filament/widgets/components/stats-overview/stat/chart.js line 1
- Likely real
- Uncertain, 45% confidence
Possibility of prototype polluting function detected. By adding or modifying attributes of an object prototype, it is possible to create attributes that exist on every object, or replace critical attributes with malicious ones. This can be problematic if the software depends on existence or non-existence of certain attributes, or uses pre-defined attributes of object prototype (such as hasOwnProperty, toString or valueOf). Possible mitigations might be: freezing the object prototype, using an object without prototypes (via Object.create(null) ), blocking modifications of attributes that resolve to object prototype, using Map instead of object.
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i.horizontal?(t=i.base>i.x,e="left",s="right"):(t=i.base<i.y,e="bottom",s="top"),t?(n="end",o="start"):(n="start",o="end"),{start:e,end:s,reverse:t,top:n,bottom:o}}function ur(i,t,e,s){let n=t.borderSkipped,o={};if(!n){i.borderSkipped=o;return}if(n===!0){i.borderSkipped={top:!0,right:!0,bottom:!0,left:!0};return}let{start:a,end:r,reverse:l,top:c,bottom:h}=dr(i);n==="middle"&&e&&(i.enableBorderRadius=!0,(e._top||0)===s?n=c:(e._bottom||0)===s?n=h:(o[An(h,a,r,l)]=!0,n=c)),o[An(n,a,r,l)]=!0,i.borderSkipped=o}function An(i,t,e,s){return s?(i=fr(i,t,e),i=Tn(i,e,t)):i=Tn(i,t,e),i}function fr(i,t,e){return i===t?e:i===e?t:i}function Tn(i,t,e){return i==="start"?t:i==="end"?e:i}function gr(i,{inflateAmount:t},e){i.inflateAmount=t==="auto"?e===1?.33:0:t}var ee=class extends et{parsePrimitiveData(t,e,s,n){return On(t,e,s,n)}parseArrayData(t,e,s,n){return 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o=n==="reset",{index:a,_cachedMeta:{vScale:r}}=this,l=r.getBasePixel(),c=r.isHorizontal(),h=this._getRuler(),{sharedOptions:d,includeOptions:u}=this._getSharedOptions(e,n);for(let f=e;f<e+s;f++){let g=this.getParsed(f),p=o||T(g[r.axis])?{base:l,head:l}:this._calculateBarValuePixels(f),m=this._calculateBarIndexPixels(f,h),b=(g._stacks||{})[r.axis],_={horizontal:c,base:p.base,enableBorderRadius:!b||rs(g._custom)||a===b._top||a===b._bottom,x:c?p.head:m.center,y:c?m.center:p.head,height:c?m.size:Math.abs(p.size),width:c?Math.abs(p.size):m.size};u&&(_.options=d||this.resolveDataElementOptions(f,t[f].active?"active":n));let v=_.options||t[f].options;ur(_,v,b,a),gr(_,v,h.ratio),this.updateElement(t[f],f,_,n)}}_getStacks(t,e){let{iScale:s}=this._cachedMeta,n=s.getMatchingVisibleMetas(this._type).filter(l=>l.controller.options.grouped),o=s.options.stacked,a=[],r=l=>{let c=l.controller.getParsed(e),h=c&&c[l.vScale.axis];if(T(h)||isNaN(h))return!0};for(let l of n)if(!(e!==void 0&&r(l))&&((o===!1||a.indexOf(l.stack)===-1||o===void 0&&l.stack===void 0)&&a.push(l.stack),l.index===t))break;return a.length||a.push(void 0),a}_getStackCount(t){return this._getStacks(void 0,t).length}_getStackIndex(t,e,s){let n=this._getStacks(t,s),o=e!==void 0?n.indexOf(e):-1;return o===-1?n.length-1:o}_getRuler(){let t=this.options,e=this._cachedMeta,s=e.iScale,n=[],o,a;for(o=0,a=e.data.length;o<a;++o)n.push(s.getPixelForValue(this.getParsed(o)[s.axis],o));let r=t.barThickness;return{min:r||ar(e),pixels:n,start:s._startPixel,end:s._endPixel,stackCount:this._getStackCount(),scale:s,grouped:t.grouped,ratio:r?1:t.categoryPercentage*t.barPercentage}}_calculateBarValuePixels(t){let{_cachedMeta:{vScale:e,_stacked:s},options:{base:n,minBarLength:o}}=this,a=n||0,r=this.getParsed(t),l=r._custom,c=rs(l),h=r[e.axis],d=0,u=s?this.applyStack(e,r,s):h,f,g;u!==h&&(d=u-h,u=h),c&&(h=l.barStart,u=l.barEnd-l.barStart,h!==0&&ot(h)!==ot(l.barEnd)&&(d=0),d+=h);let p=!T(n)&&!c?n:d,m=e.getPixelForValue(p);if(this.chart.getDataVisibility(t)?f=e.getPixelForValue(d+u):f=m,g=f-m,Math.abs(g)<o){g=hr(g,e,a)*o,h===a&&(m-=g/2);let b=e.getPixelForDecimal(0),_=e.getPixelForDecimal(1),v=Math.min(b,_),y=Math.max(b,_);m=Math.max(Math.min(m,y),v),f=m+g}if(m===e.getPixelForValue(a)){let b=ot(g)*e.getLineWidthForValue(a)/2;m+=b,g-=b}return{size:g,base:m,head:f,center:f+g/2}}_calculateBarIndexPixels(t,e){let s=e.scale,n=this.options,o=n.skipNull,a=C(n.maxBarThickness,1/0),r,l;if(e.grouped){let c=o?this._getStackCount(t):e.stackCount,h=n.barThickness==="flex"?lr(t,e,n,c):rr(t,e,n,c),d=this._getStackIndex(this.index,this._cachedMeta.stack,o?t:void 0);r=h.start+h.chunk*d+h.chunk/2,l=Math.min(a,h.chunk*h.ratio)}else r=s.getPixelForValue(this.getParsed(t)[s.axis],t),l=Math.min(a,e.min*e.ratio);return{base:r-l/2,head:r+l/2,center:r,size:l}}draw(){let t=this._cachedMeta,e=t.vScale,s=t.data,n=s.length,o=0;for(;o<n;++o)this.getParsed(o)[e.axis]!==null&&s[o].draw(this._ctx)}};ee.id="bar";ee.defaults={datasetElementType:!1,dataElementType:"bar",categoryPercentage:.8,barPercentage:.9,grouped:!0,animations:{numbers:{type:"number",properties:["x","y","base","width","height"]}}};ee.overrides={scales:{_index_:{type:"category",offset:!0,grid:{offset:!0}},_value_:{type:"linear",beginAtZero:!0}}};var ie=class extends et{initialize(){this.enableOptionSharing=!0,super.initialize()}parsePrimitiveData(t,e,s,n){let o=super.parsePrimitiveData(t,e,s,n);for(let a=0;a<o.length;a++)o[a]._custom=this.resolveDataElementOptions(a+s).radius;return o}parseArrayData(t,e,s,n){let o=super.parseArrayData(t,e,s,n);for(let a=0;a<o.length;a++){let r=e[s+a];o[a]._custom=C(r[2],this.resolveDataElementOptions(a+s).radius)}return o}parseObjectData(t,e,s,n){let o=super.parseObjectData(t,e,s,n);for(let a=0;a<o.length;a++){let r=e[s+a];o[a]._custom=C(r&&r.r&&+r.r,this.resolveDataElementOptions(a+s).radius)}return o}getMaxOverflow(){let t=this._cachedMeta.data,e=0;for(let s=t.length-1;s>=0;--s)e=Math.max(e,t[s].size(this.resolveDataElementOptions(s))/2);return e>0&&e}getLabelAndValue(t){let e=this._cachedMeta,{xScale:s,yScale:n}=e,o=this.getParsed(t),a=s.getLabelForValue(o.x),r=n.getLabelForValue(o.y),l=o._custom;return{label:e.label,value:"("+a+", "+r+(l?", "+l:"")+")"}}update(t){let e=this._cachedMeta.data;this.updateElements(e,0,e.length,t)}updateElements(t,e,s,n){let o=n==="reset",{iScale:a,vScale:r}=this._cachedMeta,{sharedOptions:l,includeOptions:c}=this._getSharedOptions(e,n),h=a.axis,d=r.axis;for(let u=e;u<e+s;u++){let f=t[u],g=!o&&this.getParsed(u),p={},m=p[h]=o?a.getPixelForDecimal(.5):a.getPixelForValue(g[h]),b=p[d]=o?r.getBasePixel():r.getPixelForValue(g[d]);p.skip=isNaN(m)||isNaN(b),c&&(p.options=l||this.resolveDataElementOptions(u,f.active?"active":n),o&&(p.options.radius=0)),this.updateElement(f,u,p,n)}}resolveDataElementOptions(t,e){let s=this.getParsed(t),n=super.resolveDataElementOptions(t,e);n.$shared&&(n=Object.assign({},n,{$shared:!1}));let o=n.radius;return e!=="active"&&(n.radius=0),n.radius+=C(s&&s._custom,o),n}};ie.id="bubble";ie.defaults={datasetElementType:!1,dataElementType:"point",animations:{numbers:{type:"number",properties:["x","y","borderWidth","radius"]}}};ie.overrides={scales:{x:{type:"linear"},y:{type:"linear"}},plugins:{tooltip:{callbacks:{title(){return""}}}}};function pr(i,t,e){let s=1,n=1,o=0,a=0;if(t<F){let r=i,l=r+t,c=Math.cos(r),h=Math.sin(r),d=Math.cos(l),u=Math.sin(l),f=(v,y,x)=>qt(v,r,l,!0)?1:Math.max(y,y*e,x,x*e),g=(v,y,x)=>qt(v,r,l,!0)?-1:Math.min(y,y*e,x,x*e),p=f(0,c,d),m=f(V,h,u),b=g(B,c,d),_=g(B+V,h,u);s=(p-b)/2,n=(m-_)/2,o=-(p+b)/2,a=-(m+_)/2}return{ratioX:s,ratioY:n,offsetX:o,offsetY:a}}var Ot=class extends et{constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){let s=this.getDataset().data,n=this._cachedMeta;if(this._parsing===!1)n._parsed=s;else{let o=l=>+s[l];if(D(s[t])){let{key:l="value"}=this._parsing;o=c=>+gt(s[c],l)}let a,r;for(a=t,r=t+e;a<r;++a)n._parsed[a]=o(a)}}_getRotation(){return nt(this.options.rotation-90)}_getCircumference(){return nt(this.options.circumference)}_getRotationExtents(){let t=F,e=-F;for(let s=0;s<this.chart.data.datasets.length;++s)if(this.chart.isDatasetVisible(s)){let n=this.chart.getDatasetMeta(s).controller,o=n._getRotation(),a=n._getCircumference();t=Math.min(t,o),e=Math.max(e,o+a)}return{rotation:t,circumference:e-t}}update(t){let e=this.chart,{chartArea:s}=e,n=this._cachedMeta,o=n.data,a=this.getMaxBorderWidth()+this.getMaxOffset(o)+this.options.spacing,r=Math.max((Math.min(s.width,s.height)-a)/2,0),l=Math.min(js(this.options.cutout,r),1),c=this._getRingWeight(this.index),{circumference:h,rotation:d}=this._getRotationExtents(),{ratioX:u,ratioY:f,offsetX:g,offsetY:p}=pr(d,h,l),m=(s.width-a)/u,b=(s.height-a)/f,_=Math.max(Math.min(m,b)/2,0),v=Oi(this.options.radius,_),y=Math.max(v*l,0),x=(v-y)/this._getVisibleDatasetWeightTotal();this.offsetX=g*v,this.offsetY=p*v,n.total=this.calculateTotal(),this.outerRadius=v-x*this._getRingWeightOffset(this.index),this.innerRadius=Math.max(this.outerRadius-x*c,0),this.updateElements(o,0,o.length,t)}_circumference(t,e){let s=this.options,n=this._cachedMeta,o=this._getCircumference();return e&&s.animation.animateRotate||!this.chart.getDataVisibility(t)||n._parsed[t]===null||n.data[t].hidden?0:this.calculateCircumference(n._parsed[t]*o/F)}updateElements(t,e,s,n){let o=n==="reset",a=this.chart,r=a.chartArea,c=a.options.animation,h=(r.left+r.right)/2,d=(r.top+r.bottom)/2,u=o&&c.animateScale,f=u?0:this.innerRadius,g=u?0:this.outerRadius,{sharedOptions:p,includeOptions:m}=this._getSharedOptions(e,n),b=this._getRotation(),_;for(_=0;_<e;++_)b+=this._circumference(_,o);for(_=e;_<e+s;++_){let v=this._circumference(_,o),y=t[_],x={x:h+this.offsetX,y:d+this.offsetY,startAngle:b,endAngle:b+v,circumference:v,outerRadius:g,innerRadius:f};m&&(x.options=p||this.resolveDataElementOptions(_,y.active?"active":n)),b+=v,this.updateElement(y,_,x,n)}}calculateTotal(){let t=this._cachedMeta,e=t.data,s=0,n;for(n=0;n<e.length;n++){let o=t._parsed[n];o!==null&&!isNaN(o)&&this.chart.getDataVisibility(n)&&!e[n].hidden&&(s+=Math.abs(o))}return s}calculateCircumference(t){let e=this._cachedMeta.total;return e>0&&!isNaN(t)?F*(Math.abs(t)/e):0}getLabelAndValue(t){let e=this._cachedMeta,s=this.chart,n=s.data.labels||[],o=Jt(e._parsed[t],s.options.locale);return{label:n[t]||"",value:o}}getMaxBorderWidth(t){let e=0,s=this.chart,n,o,a,r,l;if(!t){for(n=0,o=s.data.datasets.length;n<o;++n)if(s.isDatasetVisible(n)){a=s.getDatasetMeta(n),t=a.data,r=a.controller;break}}if(!t)return 0;for(n=0,o=t.length;n<o;++n)l=r.resolveDataElementOptions(n),l.borderAlign!=="inner"&&(e=Math.max(e,l.borderWidth||0,l.hoverBorderWidth||0));return e}getMaxOffset(t){let e=0;for(let s=0,n=t.length;s<n;++s){let o=this.resolveDataElementOptions(s);e=Math.max(e,o.offset||0,o.hoverOffset||0)}return e}_getRingWeightOffset(t){let e=0;for(let s=0;s<t;++s)this.chart.isDatasetVisible(s)&&(e+=this._getRingWeight(s));return e}_getRingWeight(t){return Math.max(C(this.chart.data.datasets[t].weight,1),0)}_getVisibleDatasetWeightTotal(){return this._getRingWeightOffset(this.chart.data.datasets.length)||1}};Ot.id="doughnut";Ot.defaults={datasetElementType:!1,dataElementType:"arc",animation:{animateRotate:!0,animateScale:!1},animations:{numbers:{type:"number",properties:["circumference","endAngle","innerRadius","outerRadius","startAngle","x","y","offset","borderWidth","spacing"]}},cutout:"50%",rotation:0,circumference:360,radius:"100%",spacing:0,indexAxis:"r"};Ot.descriptors={_scriptable:i=>i!=="spacing",_indexable:i=>i!=="spacing"};Ot.overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(i){let t=i.data;if(t.labels.length&&t.datasets.length){let{labels:{pointStyle:e}}=i.legend.options;return t.labels.map((s,n)=>{let a=i.getDatasetMeta(0).controller.getStyle(n);return{text:s,fillStyle:a.backgroundColor,strokeStyle:a.borderColor,lineWidth:a.borderWidth,pointStyle:e,hidden:!i.getDataVisibility(n),index:n}})}return[]}},onClick(i,t,e){e.chart.toggleDataVisibility(t.index),e.chart.update()}},tooltip:{callbacks:{title(){return""},label(i){let t=i.label,e=": "+i.formattedValue;return I(t)?(t=t.slice(),t[0]+=e):t+=e,t}}}}};var se=class extends et{initialize(){this.enableOptionSharing=!0,this.supportsDecimation=!0,super.initialize()}update(t){let e=this._cachedMeta,{dataset:s,data:n=[],_dataset:o}=e,a=this.chart._animationsDisabled,{start:r,count:l}=Vi(e,n,a);this._drawStart=r,this._drawCount=l,Wi(e)&&(r=0,l=n.length),s._chart=this.chart,s._datasetIndex=this.index,s._decimated=!!o._decimated,s.points=n;let c=this.resolveDatasetElementOptions(t);this.options.showLine||(c.borderWidth=0),c.segment=this.options.segment,this.updateElement(s,void 0,{animated:!a,options:c},t),this.updateElements(n,r,l,t)}updateElements(t,e,s,n){let o=n==="reset",{iScale:a,vScale:r,_stacked:l,_dataset:c}=this._cachedMeta,{sharedOptions:h,includeOptions:d}=this._getSharedOptions(e,n),u=a.axis,f=r.axis,{spanGaps:g,segment:p}=this.options,m=Rt(g)?g:Number.POSITIVE_INFINITY,b=this.chart._animationsDisabled||o||n==="none",_=e>0&&this.getParsed(e-1);for(let v=e;v<e+s;++v){let y=t[v],x=this.getParsed(v),M=b?y:{},w=T(x[f]),S=M[u]=a.getPixelForValue(x[u],v),k=M[f]=o||w?r.getBasePi...[truncated] -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/IRCScraper.php line 73
- Likely real
- Uncertain, 36% confidence
Calling `unserialize()` with user input in the pattern can lead to arbitrary code execution. Consider using JSON or structured data approaches (e.g. Google Protocol Buffers).
$ignored = unserialize( (string) config('irc_settings.scrape_irc_source_ignore'), ['allowed_classes' => false] ); -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /app/Services/IRCScraper.php line 156
- Likely real
- Uncertain, 36% confidence
Calling `unserialize()` with user input in the pattern can lead to arbitrary code execution. Consider using JSON or structured data approaches (e.g. Google Protocol Buffers).
$channels = unserialize((string) $channelsCfg, ['allowed_classes' => false]); -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/host.py line 772
- Likely real
- Probably noise, 25% confidence
Probable insecure usage of temp file/directory.
771 # Verify remote snapshot and versions before touching any existing data. 772 with tempfile.TemporaryDirectory(prefix="nntmux-restore-", dir="/var/tmp") as stage: 773 os.chmod(stage, 0o700) -
- Engine
- Semgrep · Pattern-based code analysis
- Counts towards
- Vulnerability
- File
- /scripts/benchmark-yenc.php line 145
- Likely real
- Probably noise, 20% confidence
Using user input when deleting files with `unlink()` is potentially dangerous. A malicious actor could use this to modify or access files they have no right to.
unlink($file); -
- Engine
- GuardDog · Supply-chain attack heuristics
- Counts towards
- Malicious pattern
- File
- /public/js/filament/forms/components/markdown-editor.js line 1
- Likely real
- Yes, 95% confidence
Detects heavy obfuscation techniques commonly used by malware [threat-runtime-obfuscation]
...0900-\u0902\u093c\u0941-\u0948\u094d\u0951-\u0955\u0962\u0963\u0981\u09bc\u09be\u09c1-\u09c4\u09cd\u09d7\u09e2\u09e3\u0a01\u0a02\u0a3c\u0a41\u0a42\u0a47\u0a48\u0a4b-\u0a4d\u0a51\u0a70\u0a71\u0a75\u0a81\u0a82\u0abc\u0ac1-\u0ac5\u0ac7\u0ac8\u0acd\u0ae2... -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/host.py line 11
- Likely real
- Probably noise, 13% confidence
Consider possible security implications associated with the subprocess module.
10 import shutil 11 import subprocess 12 import tempfile -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/deploy.py line 10
- Likely real
- Probably noise, 13% confidence
Consider possible security implications associated with the subprocess module.
9 import re 10 import subprocess 11 import tempfile -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/deploy.py line 175
- Likely real
- Probably noise, 12% confidence
Starting a process with a partial executable path
174 if not args.inventory: 175 result = subprocess.run( 176 [ 177 "terraform", 178 "-chdir=" + str(REPOSITORY / "infra/terraform/baremetal"), 179 "output", 180 "-json", 181 "ansible_inventory", 182 ], 183 capture_output=True, 184 text=True, 185 check=True, 186 ) 187 inventory = json.loads(result.stdout) -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/deploy.py line 193
- Likely real
- Probably noise, 12% confidence
Starting a process with a partial executable path
192 # Convert YAML inventory through Ansible's own parser; inspect connection fields only. 193 result = subprocess.run( 194 ["ansible-inventory", "-i", str(inventory_file), "--list"], 195 capture_output=True, 196 text=True, 197 env=env, 198 cwd=ansible, 199 check=True, 200 ) 201 parsed = json.loads(result.stdout) -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/deploy.py line 175
- Likely real
- Probably noise, 3% confidence
subprocess call - check for execution of untrusted input.
174 if not args.inventory: 175 result = subprocess.run( 176 [ 177 "terraform", 178 "-chdir=" + str(REPOSITORY / "infra/terraform/baremetal"), 179 "output", 180 "-json", 181 "ansible_inventory", 182 ], 183 capture_output=True, 184 text=True, 185 check=True, 186 ) 187 inventory = json.loads(result.stdout) -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/deploy.py line 193
- Likely real
- Probably noise, 3% confidence
subprocess call - check for execution of untrusted input.
192 # Convert YAML inventory through Ansible's own parser; inspect connection fields only. 193 result = subprocess.run( 194 ["ansible-inventory", "-i", str(inventory_file), "--list"], 195 capture_output=True, 196 text=True, 197 env=env, 198 cwd=ansible, 199 check=True, 200 ) 201 parsed = json.loads(result.stdout) -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/deploy.py line 248
- Likely real
- Probably noise, 3% confidence
subprocess call - check for execution of untrusted input.
247 command.append("--" + flag.replace("_", "-")) 248 return subprocess.call(command, cwd=ansible, env=env) 249 -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/host.py line 78
- Likely real
- Probably noise, 3% confidence
subprocess call - check for execution of untrusted input.
77 def run(argv, *, cwd=None, env=None, check=True): 78 result = subprocess.run( 79 [str(a) for a in argv], 80 cwd=cwd, 81 env=env, 82 text=True, 83 stdout=subprocess.PIPE, 84 stderr=subprocess.PIPE, 85 check=False, 86 ) 87 if check and result.returncode: -
- Engine
- Bandit · Python security linter
- Counts towards
- Vulnerability
- File
- /deploy/baremetal/host.py line 373
- Likely real
- Probably noise, 3% confidence
subprocess call - check for execution of untrusted input.
372 if not re.search(r"^\s*nntmux\s*:", existing, re.MULTILINE): 373 result = subprocess.run( 374 command + ["useradd", "nntmux", "-r", "nntmux"], 375 input=values["ELASTICSEARCH_PASS"] 376 + "\n" 377 + values["ELASTICSEARCH_PASS"] 378 + "\n", 379 text=True, 380 stdout=subprocess.PIPE, 381 stderr=subprocess.PIPE, 382 check=False, 383 ) 384 if result.returncode: -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'vite^8.3' — attacker could push malicious update
vite:^8.3 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: '@alpinejs/csp^3.17.3' — attacker could push malicious update
@alpinejs/csp:^3.17.3 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: '@fortawesome/fontawesome-free^7.3.1' — attacker could push malicious update
@fortawesome/fontawesome-free:^7.3.1 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: '@melloware/coloris^0.25.0' — attacker could push malicious update
@melloware/coloris:^0.25.0 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: '@simonwep/pickr^1.10.2' — attacker could push malicious update
@simonwep/pickr:^1.10.2 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: '@simplewebauthn/browser^14.0.0' — attacker could push malicious update
@simplewebauthn/browser:^14.0.0 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'date-fns^4.4.0' — attacker could push malicious update
date-fns:^4.4.0 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'vue^3.5.43' — attacker could push malicious update
vue:^3.5.43 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'tailwindcss^4.3.3' — attacker could push malicious update
tailwindcss:^4.3.3 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'prettier-plugin-tailwindcss^0.7.4' — attacker could push malicious update
prettier-plugin-tailwindcss:^0.7.4 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'npm-check-updates^23.1.0' — attacker could push malicious update
npm-check-updates:^23.1.0 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'lodash^4.18.1' — attacker could push malicious update
lodash:^4.18.1 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: '@tailwindcss/vite^4.3.3' — attacker could push malicious update
@tailwindcss/vite:^4.3.3 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: '@tailwindcss/forms^0.5.11' — attacker could push malicious update
@tailwindcss/forms:^0.5.11 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'vuedraggable^4.1.0' — attacker could push malicious update
vuedraggable:^4.1.0 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'nested-sort^5.2.0' — attacker could push malicious update
nested-sort:^5.2.0 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'laravel-vite-plugin^3.2' — attacker could push malicious update
laravel-vite-plugin:^3.2 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'laravel-echo^2.5.0' — attacker could push malicious update
laravel-echo:^2.5.0 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'feather-icons^4.29.2' — attacker could push malicious update
feather-icons:^4.29.2 -
- Engine
- Dependency checker · CVEs, typosquats and risky installs
- Counts towards
- Supply chain
- File
- package.json
- Likely real
- Probably noise, 2% confidence
Loose version constraint: 'chart.js^4.5.1' — attacker could push malicious update
chart.js:^4.5.1 -
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /docker/8.5/Dockerfile
- Likely real
- Probably noise, 0% confidence
YARA rule matched: detect_downloader — Downloads a remote resource - common and low-signal alone; see detect_download_and_execute for the composite version
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /install_composer.sh
- Likely real
- Probably noise, 0% confidence
YARA rule matched: detect_downloader — Downloads a remote resource - common and low-signal alone; see detect_download_and_execute for the composite version
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /README.md
- Likely real
- Probably noise, 0% confidence
YARA rule matched: detect_downloader — Downloads a remote resource - common and low-signal alone; see detect_download_and_execute for the composite version
-
- Engine
- YARA · Malware signature rules
- Counts towards
- Malicious pattern
- File
- /install-tmux-fonts.sh
- Likely real
- Probably noise, 0% confidence
YARA rule matched: detect_downloader — Downloads a remote resource - common and low-signal alone; see detect_download_and_execute for the composite version
No findings match these filters.