Scan report

GitHubSecurityLab / seclab-taskflow-agent

Vulnerability High

Could an attacker exploit mistakes in this code?

86 risk score

Serious issues. Review the high-severity findings before using it.

High
9
Medium
7
Low
25

Sources: Bandit, Semgrep, pip-audit

Malicious pattern Low

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

2 risk score

Minor issues. Worth a glance, unlikely to be urgent.

High
0
Medium
0
Low
5

Sources: YARA, ClamAV, GuardDog, dependency checker

Findings overview
46 total findings
Likely real
16
Uncertain
0
Likely noise
30

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 86, which means there are many obvious coding mistakes that could let attackers exploit the code in ways they don't expect. While the malicious-pattern score is very low at 2, this indicates the code itself does not appear to be intentionally harmful, but rather just outdated or poorly written. The most serious issues involve using Python features and libraries that only work on newer versions of the language, which will break if older systems try to run this project. Additionally, several dependencies have known security flaws that could allow attackers to steal secrets or inject malicious commands into the system. The scan also found a specific risk where a GitHub Actions workflow might accidentally execute code with your own credentials if not configured correctly, and there is a chance that hardcoded secrets are being logged in the application logs.

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 26

    Python security linter · Vulnerability

  • Semgrep 11

    Pattern-based code analysis · Vulnerability

  • Dependency checker 7

    CVEs, typosquats and risky installs · Supply chain

  • GuardDog 2

    Supply-chain attack heuristics · 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.