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volcengine/OpenViking

https://github.com/volcengine/OpenViking · scanned 2026-05-15 07:29 UTC (3 weeks ago) · 10 languages

784 findings (351 legacy + 433 scanner) 13th percentile · Python · large (100-500K LoC) Scanner says 55 (higher by 6)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks ago · v1 · 343 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Score breakdown â 2026-05-14-v3
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 0.0 0.25 0.00
testing_score 100.0 0.20 20.00
documentation_score 85.0 0.15 12.75
practices_score 75.0 0.15 11.25
code_quality 39.3 0.10 3.93
Overall 1.00 60.7
Severity distribution — click a segment to filter
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Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 131 findings
What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.
Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.
How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.
Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).
12 matching findings on this repo
  • medium Magic number used as default arg third_party/agfs/agfs-server/pkg/plugin/api/host_…:67
  • medium Magic number used as default arg third_party/agfs/agfs-server/pkg/plugin/api/wasm_…:21
  • medium Magic number used as default arg third_party/agfs/agfs-server/pkg/plugins/heartbea…:95
  • medium Magic number used as default arg third_party/agfs/agfs-server/pkg/plugins/streamfs…:792
  • medium Magic number used as default arg third_party/agfs/agfs-server/pkg/plugins/streamfs…:788
  • medium Magic number used as default arg third_party/agfs/agfs-server/pkg/plugins/sqlfs/sq…:242
  • medium Magic number used as default arg third_party/agfs/agfs-server/pkg/plugins/sqlfs/sq…:241
  • medium Magic number used as default arg third_party/agfs/agfs-shell/agfs_shell/shell.py:2141
  • medium Magic number used as default arg third_party/agfs/agfs-shell/agfs_shell/shell.py:2140
  • medium Magic number used as default arg third_party/agfs/agfs-shell/agfs_shell/control_fl…:43
  • medium Magic number used as default arg third_party/agfs/agfs-shell/agfs_shell/control_fl…:22
  • medium Magic number used as default arg tests/cli/test_cli.py:31
View all fragile runtime findings →
Config drift 3 findings
What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.
Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.
How AI causes it: AI writes new config from memory rather than reading the existing source.
Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.
3 matching findings on this repo
  • medium CORS misconfiguration — wildcard Access-Control-Allow-Origin openviking/server/app.py:96
  • medium CORS misconfiguration — wildcard Access-Control-Allow-Origin openviking/server/config.py:65
  • medium CORS misconfiguration — wildcard Access-Control-Allow-Origin openviking/server/config.py:23
View all config drift findings →
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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