Check the report below, then download or share it. Download PDF Open PDF Back to results

MalDet · Static Security Report

malware-samples

github.com/InQuest/malware-samples
Scanned 18 September 2026 at 19:53  ·  Report generated 29 October 2026  ·  ActionScript  ·  940 stars
Overall assessment
Medium
Combined score 80  ·  45 findings after filtering

Summary

This repository shows signs of malicious activity rather than just poor coding practices, as it was flagged for high-risk patterns including process injection and anti-analysis techniques that are rarely found in normal software. While the overall vulnerability risk is low at 18.0, this score only measures common insecure code habits like missing error handling or unsafe loops, which do not necessarily indicate a threat. The most serious issues identified are YARA rules that detected specific malware signatures such as process injection and persistence mechanisms, along with suspicious use of the eval() function which could allow attackers to execute arbitrary code if input is trusted. These findings suggest the code may be part of a known malicious payload rather than safe, legitimate software.

Written by a language model running locally on the scanning machine, from the findings in this report. The risk levels above and below were decided by the scoring model, not by this summary.

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
Low (18)
Insecure coding an attacker could exploit. Usually mistakes, and usually fixable in place.
Malicious pattern
High (62)
Signs the code may be trying to do harm: hidden payloads, credential access, persistence, exfiltration.

What each detector found

DetectorLooks for HighMediumLowTotal
yara Signatures of malicious behaviour in source files 32 0 0 32
semgrep Insecure coding patterns across many languages 0 12 0 12
bandit Insecure coding patterns in Python source 0 0 1 1

0 of 45 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.

SeverityDetectorFindingSeenExample location
high yara YARA rule matched: detect_process_injection — Windows process-injection API sequence 6 /CVE-2018-4878-Adobe-Flash-DRM-UAF-0day/pe-e1546323dc746ed2f7a5c973dcecc79b014b68bdd8a6230239283b4f775f4bbd.report
high yara YARA rule matched: detect_anti_analysis — Checks for a debugger, VM, or sandbox before continuing - a common malware evasion technique, essentially never present in ordinary application code 23 /CVE-2018-4878-Adobe-Flash-DRM-UAF-0day/pe-e1546323dc746ed2f7a5c973dcecc79b014b68bdd8a6230239283b4f775f4bbd.report
high yara YARA rule matched: detect_persistence_mechanism — Modifies a startup/scheduling location - legitimate application code essentially never does this 3 /2019-02-Shlayer Malware/a2ec5d9c80794c26a7eaac8586521f7b0eb24aba9ad393c194c86cfd150e5189
medium semgrep Detected the use of eval(). eval() can be dangerous if used to evaluate dynamic content. If this content can be input from outside the program, this may be a code injection vulnerability. Ensure evaluated content is not definable by external sources. 12 /2018-04-GandCrab-Swarm/dropper-javascript/0638e4dfe95bdae94a751404e4c91adbb72a57967d4443cde3e4abb16bc293b0.js:1
low bandit Try, Except, Continue detected. 1 /2020-07-GlobalSign/extract_ps_from_png.py:19

How to read this report