MalDet

Scan report

juliocesarfort / public-pentesting-reports

Report Rescan
Vulnerability Medium

Could an attacker exploit mistakes in this code?

60 risk score

Real issues worth reviewing before you rely on this code.

High
2
Medium
37
Low
0

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
1
Medium
0
Low
0

Sources: YARA, ClamAV, GuardDog, dependency checker

Findings overview
40 total findings
Likely real
2
Uncertain
37
Likely noise
1

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 medium vulnerability score of 60, which means there are several insecure coding patterns that an attacker could exploit to run commands or steal data. However, the code does not appear to be intentionally malicious; instead, it contains common mistakes like missing security attributes and using unencrypted links, but these look like standard errors rather than deliberate attacks. The most serious issue is a command injection vulnerability found in one file, which could allow an attacker to execute arbitrary commands if they are not careful about what input the code receives. While there is also a low score indicating some signs of malicious intent, this is likely just a false positive because the specific patterns detected are very rare and do not match typical malware evasion techniques used by real attackers. Overall, while the code has some security gaps that need to be fixed to prevent exploitation, it does not look like a site designed to harm users directly.

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

Detections by engine

  • Semgrep 39

    Pattern-based code analysis · Vulnerability

  • YARA 1

    Malware signature rules · Malicious pattern

Findings

Highest severity first. Select a finding to see the code and what it means.