XinRanZh/ProjectAim-ApexLegends

Python·86 files·commit 9e278c1·scanned 15m ago·cached ✓

70/100

DANGEROUS

Sensitive capability combinations reachable from entry points. Do not run without review.

This repository contains patterns associated with malware. Do NOT run this code.

verdict accurate?

threat-state: dangerouslive

FINDINGS ░▒▓

warningPython subprocess / os.system usageos.system() or subprocess with shell=True / suspicious commands can execute arbitrary shell commands. Plain pip/package installs are usually benign.utils/aws/resume.py

    print(cmd)
    os.system(cmd)

criticaleval() usage detectedeval() executes arbitrary code and is commonly used in malware to run obfuscated payloads fetched from remote servers.utils/datasets.py

        if pipe.isnumeric():
            pipe = eval(pipe)  # local camera
        # pipe = 'rtsp://192.168.1.64/1'  # IP camera
        # pipe = 'rtsp://username:password@192.168.1.64/1'  # IP camera...

criticalPython dynamic code executioneval(), exec() or compile() on untrusted input can execute arbitrary code. Common in Python malware for running obfuscated payloads.utils/datasets.py

        if pipe.isnumeric():
            pipe = eval(pipe)  # local camera
        # pipe = 'rtsp://192.168.1.64/1'  # IP camera
        # pipe = 'rtsp://username:password@192.168.1.64/1'  # IP camera...

criticalPython dynamic code executioneval(), exec() or compile() on untrusted input can execute arbitrary code. Common in Python malware for running obfuscated payloads.utils/general.py

                else:  # python script
                    r = exec(s)  # return None
                print('Dataset autodownload %s\n' % ('success' if r in (0, None) else 'failure'))  # print result
...

        cmd = 'git fetch && git config --get remote.origin.url'
        url = subprocess.check_output(cmd, shell=True).decode().strip().rstrip('.git')  # github repo url
        branch = subprocess.ch...

criticaleval() usage detectedeval() executes arbitrary code and is commonly used in malware to run obfuscated payloads fetched from remote servers.utils/google_utils.py

    s = subprocess.check_output(f'gsutil du {url}', shell=True).decode('utf-8')
    return eval(s.split(' ')[0]) if len(s) else 0  # bytes

criticalPython dynamic code executioneval(), exec() or compile() on untrusted input can execute arbitrary code. Common in Python malware for running obfuscated payloads.utils/google_utils.py

    s = subprocess.check_output(f'gsutil du {url}', shell=True).decode('utf-8')
    return eval(s.split(' ')[0]) if len(s) else 0  # bytes

    # gs://bucket/file size https://cloud.google.com/storage/docs/gsutil/commands/du
    s = subprocess.check_output(f'gsutil du {url}', shell=True).decode('utf-8')
    return eval(s.split(' ')[0]) if...

criticalPython remote code executionFetching code from a remote URL and immediately executing it (exec(requests.get(...).text)) is a classic malware dropper pattern.utils/google_utils.py


import requests
import torch

+10

criticaleval() usage detectedeval() executes arbitrary code and is commonly used in malware to run obfuscated payloads fetched from remote servers.models/yolo.py

    for i, (f, n, m, args) in enumerate(d['backbone'] + d['head']):  # from, number, module, args
        m = eval(m) if isinstance(m, str) else m  # eval strings
        for j, a in enumerate(args):
...

infoSuspicious files are not reachable from entry pointsFlagged files exist but are not imported by any entry point. They may be dead code, tests, or attack payloads triggered by another mechanism.+2

warningHigh-entropy string literalsFound 6 long strings with high Shannon entropy. This is common in obfuscated payloads that hide URLs, keys, or bytecode.utils/autoanchor.py+3

warningHigh-entropy string literalsFound 4 long strings with high Shannon entropy. This is common in obfuscated payloads that hide URLs, keys, or bytecode.utils/datasets.py+3

warningHigh-entropy string literalsFound 5 long strings with high Shannon entropy. This is common in obfuscated payloads that hide URLs, keys, or bytecode.utils/google_utils.py+3

Scores are heuristics. A “safe” verdict means no known-malicious patterns were found — clever malware can look boring. Wrong verdict? Flag it above; confirmed false positives become regression tests.

23 files scanned @ 9e278c1 | 9/25/2026 | heuristic scan — always review manually

risk by category

code execution25

network & exfiltration0

file system access0

obfuscation15

supply chain0

owasp / injection0

telemetry

files 23/86rules hit 14engine v6commit 9e278c1

github

XinRanZh/ProjectAim-ApexLegends

An efficient Apex Legends Aimbot based on YoloV5 real-time target detection

Python

1938d

86 files

23 scanned(27%)

9e278c1

architecture░▒▓

entry (1) flagged (9) pkg (67)

87 nodes · 179 edgesscroll to zoom · click node to jump to finding