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Hypervex reviews every pull request with full codebase context — then the Trace follows each critical finding through your call chains and confirms it's actually exploitable, before it reaches you.
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⬡ HYPERVEX SECURITY REVIEW
Risk Score: 91/100 · 1 finding (1 critical)
SQL query in api/orders.py:42 interpolates user_id directly into the statement.
An attacker could pass 1 OR 1=1 to dump every order in the table — your checkout route passes this parameter straight from the query string.
Fix: use the parameterised db.execute() pattern already in lib/db.py:17.
OWASP Top 10
mapped with CWE on every finding
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5-call budget
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[ Why Hypervex ]
Built for code no human reviewed closely
AI assistants write code that passes review and still ships subtle security flaws. Hypervex is the security gate between your assistant and production.
The Trace
Every critical, high-confidence finding gets a second investigation pass. The Trace follows the call chain through your codebase and returns a verdict — verified exploitable, or dismissed with the mitigation that blocks it. Fewer false alarms; findings you can act on without re-deriving the proof.
Codebase Context
Hypervex indexes your whole repository, not just the diff. Findings cite your actual files — “use the validateInput helper you already have at lib/auth.ts:11” — instead of generic advice.
Structured Findings
Severity, confidence score, OWASP category, CWE, an exploit scenario in plain language, and a fix in your codebase's own patterns. Data you can triage, not a wall of prose.
Regression Tracking
A vulnerability you fixed in PR #12 that quietly returns in PR #31 gets flagged as a regression — with the PR where it was last fixed. No other reviewer we've found does this.
Static Analysis, Fused
Semgrep's OWASP ruleset runs as a deterministic pre-pass on every PR. The AI review confirms, scores, and explains what it finds — and catches what pattern-matching can't.
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