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FareedKhan-dev/train-llm-from-scratch

Python·186 files·commit b995104·scanned 1h ago·cached ✓
11/100
LOW RISK
Minor findings consistent with the project type. Nothing reachable from install hooks.
verdict accurate?
10,928 stars
threat-state: lowlive

FINDINGS ░▒▓

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 4 long strings with high Shannon entropy. This is common in obfuscated payloads that hide URLs, keys, or bytecode.ui/app.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.ui/pages/1_Data.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.

96 files scanned @ b995104 | 9/25/2026 | heuristic scan — always review manually

risk by category
code execution2
network & exfiltration0
file system access0
obfuscation6
supply chain0
owasp / injection0
telemetry
files 96/186rules hit 3engine v6commit b995104

github

FareedKhan-dev/train-llm-from-scratch

A straightforward method for training your LLM, from downloading data to generating text.

Python
10928
1531
621d
186 files
96 scanned(52%)
b995104

architecture░▒▓

entry (0) flagged (2) pkg (75)
152 nodes · 383 edgesscroll to zoom · click node to jump to finding