Scan report

ProbiusOfficial / Hello-CTF

Vulnerability Medium

Could an attacker exploit mistakes in this code?

29 risk score

Real issues worth reviewing before you rely on this code.

High
2
Medium
14
Low
11

Sources: Bandit, Semgrep, pip-audit

Malicious pattern Safe

Does this code look like it is trying to cause harm?

0 risk score

No issues of this kind were found.

High
0
Medium
0
Low
2

Sources: YARA, ClamAV, GuardDog, dependency checker

Findings overview
29 total findings
Likely real
6
Uncertain
8
Likely noise
15

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

The repository has a medium vulnerability score of 29, which indicates that while the code does not appear to be maliciously crafted, it contains several common insecure coding patterns that an attacker could exploit. These issues include running the application with a writable root filesystem and allowing it to bind to all network interfaces, which means anyone on the internet could potentially access or modify files inside the container. Additionally, there are concerns about using weak hash algorithms and dynamic file paths, but these are standard weaknesses found in many applications rather than signs of hidden malicious intent. The scan also flagged a GitHub Actions workflow that uses mutable tags, which is a supply chain risk but does not necessarily mean the code itself is dangerous. Overall, the findings suggest the project needs careful review to fix these specific security gaps before it can be considered safe for production use.

Written by a local language model from the findings below. The risk scores come from the classifier, not from this summary.

Detections by engine

  • Bandit 16

    Python security linter · Vulnerability

  • Semgrep 11

    Pattern-based code analysis · Vulnerability

  • YARA 2

    Malware signature rules · Malicious pattern

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.