Scan report

ZoneMinder / zoneminder

Vulnerability Medium

Could an attacker exploit mistakes in this code?

22 risk score

Real issues worth reviewing before you rely on this code.

High
2
Medium
1
Low
13

Sources: Bandit, Semgrep, pip-audit

Malicious pattern Medium

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

34 risk score

Real issues worth reviewing before you rely on this code.

High
54
Medium
0
Low
16

Sources: YARA, ClamAV, GuardDog, dependency checker

Findings overview
86 total findings
Likely real
6
Uncertain
1
Likely noise
79

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 two medium-risk scores, both indicating that there are some insecure coding patterns and signs of potentially malicious behavior, but these issues do not necessarily mean the code is intentionally harmful. The most critical finding is that the project uses Telnet to connect to remote servers, which is an extremely dangerous practice because it transmits data without encryption and can be easily exploited by attackers. Additionally, the code contains several other security concerns such as downloading files from the internet and executing them, along with potential memory scraping vulnerabilities, but these are likely due to standard development habits rather than deliberate attacks. While some of the flagged items appear in legitimate software like jQuery or Beowulf documentation, the presence of Telnet usage and the download-and-execute pattern suggests that this codebase requires immediate attention before it can be used safely.

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

Detections by engine

  • YARA 66

    Malware signature rules · Malicious pattern

  • Bandit 16

    Python security linter · Vulnerability

  • GuardDog 4

    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.