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43 of your 67 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 1.44s · analysis 0.83s · 1.3 MB · GitHub API rate-limit (preflight)

hackingtool

https://github.com/Z4nzu/hackingtool.git · scanned 2026-05-24 01:22 UTC (1 week, 5 days ago) · 10 languages

154 findings (66 legacy + 88 scanner) 33rd percentile · Python · small (2-20K LoC) Scanner says 75 (lower by 14)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 5 days ago · v2 · 110 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
71.6
/100
Repobility
69
66 legacy
9-layer
75
100.0% cov · 44 gaps
Critical
2
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 55.0 0.15 8.25
security_score 90.4 0.25 22.60
testing_score 0.0 0.20 0.00
documentation_score 62.0 0.15 9.30
practices_score 85.0 0.15 12.75
code_quality 75.0 0.10 7.50
Overall 1.00 60.4
Severity distribution — click a segment to filter
Active filters: severity: critical × excluding tests × Reset all
Severity: Critical 2 High 39 Medium 32 Low 27 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 66 9-layer 44 Crowd 0 Layer: Security 9 Quality 67 Software 19 Cicd 10 Api 1 Hardware 3 Frontend 1
Scan summary Repository scanned at 74.6/100 with 100.0% coverage. It contains 394 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 44 findings — concentrated in quality (25), software (10), security (4). Risk profile is low: 0 critical, 0 high, 23 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 2 of 110 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

critical Legacy quality quality conf 1.00 ✓ Repobility [MINED102] Shell Injection Via F-string: Shell command built via f-string or .format with non-constant input — command injection. An attacker controlling any interpolated value can execute arbitrary shell commands.
Use the list form of subprocess (e.g. subprocess.run(["cmd", arg1, arg2])) with shell=False. Never combine shell=True with string interpolation.
tools/tool_manager.py:29 qualitylegacy
critical Legacy quality quality conf 1.00 ✓ Repobility [MINED102] Shell Injection Via F-string: Shell command built via f-string or .format with non-constant input — command injection. An attacker controlling any interpolated value can execute arbitrary shell commands.
Use the list form of subprocess (e.g. subprocess.run(["cmd", arg1, arg2])) with shell=False. Never combine shell=True with string interpolation.
install.py:119 qualitylegacy
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