MalDet report — yavihemant/digital-army-ai-honeypot

Summary

6 findings likely need attention, 1 looks like noise. Most notable: Unpinned dependency: 'fastapi' has no version lock — supply chain risk (54% confidence).

Generated from finding counts. A plain-English summary was not available for this scan.

Risk, by type

MalDet scores two different questions separately, because they call for different responses: code can be badly written without being hostile, and hostile code is not always badly written.

Vulnerability

Safe (0)

Insecure coding an attacker could exploit. Usually mistakes, and usually fixable in place.

Malicious pattern

Low (10)

Signs the code may be trying to do harm: hidden payloads, credential access, persistence, exfiltration.

What each detector found

Detector	Looks for	High	Medium	Low	Total
dep_checker	Vulnerable, unpinned or typosquatted dependencies	0	6	0	6
bandit	Insecure coding patterns in Python source	0	0	1	1

6 of 7 findings were rated more likely genuine than noise by the classifier.

Evidence

Identical findings are grouped, so a single rule firing many times takes one row. Ordered worst first. “Seen” is how many times that finding occurred.

Severity	Detector	Finding	Seen	Example location
medium	dep_checker	Unpinned dependency: 'fastapi' has no version lock — supply chain risk	1	requirements.txt:1
medium	dep_checker	Unpinned dependency: 'pydantic' has no version lock — supply chain risk	1	requirements.txt:3
medium	dep_checker	Unpinned dependency: 'python-dotenv' has no version lock — supply chain risk	1	requirements.txt:4
medium	dep_checker	Unpinned dependency: 'uvicorn' has no version lock — supply chain risk	1	requirements.txt:2
medium	dep_checker	Unpinned dependency: 'google-generativeai' has no version lock — supply chain risk	1	requirements.txt:5
medium	dep_checker	Unpinned dependency: 'regex' has no version lock — supply chain risk	1	requirements.txt:6
low	bandit	Standard pseudo-random generators are not suitable for security/cryptographic purposes.	1	/logic_brain.py:27

How to read this report

This is a static scan. The code was read, never executed. Behaviour that only appears at runtime is outside what any of these detectors can see.
Findings are not all equally real. A classifier rates each finding on how likely it is to be genuine rather than noise, and that rating weights the scores. Measured against a hand-reviewed sample it reached precision 0.52 and recall 0.62 — useful for ranking, not a verdict on any single finding.
A high score is not proof of malice. Security tools, penetration-testing frameworks and malware research repositories contain the same patterns as real malware by design. The two risk types above exist to keep that distinction visible.
Absence of findings is not proof of safety. A detector that is not installed, or a language none of them parse, produces silence rather than a warning.
This scan is a snapshot. The repository may have changed since 29 July 2026.