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hyperswitch

https://github.com/juspay/hyperswitch.git · scanned 2026-05-17 02:58 UTC (13 hours, 24 minutes ago) · 10 languages

2613 findings (201 legacy + 2412 scanner) 8/10 scanners ran Scanner says 59 (higher by 20)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 13 hours, 24 minutes ago · v2 · 2613 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
69.5
/100
Repobility
80
201 legacy
9-layer
59
100.0% cov · 2412 gaps
Critical
29
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Agents
6
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: source: crowd × excluding tests × Reset all
Severity: Critical 29 High 70 Medium 126 Low 2364 Source: Legacy 201 9-layer 2412 Crowd 0 Layer: Quality 228 Cicd 229 Software 59 Security 30 Frontend 2040 Network 1 Hardware 8 Api 18
Scan summary Repository scanned at 59.3/100 with 100.0% coverage. It contains 17886 nodes across 19 cross-layer flows, written primarily in mixed languages. Engine surfaced 2412 findings — concentrated in frontend (2040), quality (159), cicd (111). Risk profile is high: 21 critical, 26 high, 43 medium. Recommended next step: open the frontend layer findings first — that's where the highest-impact wins live.

Showing 0 of 2613 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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