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🐍 PyPI

GHSA-9pc9-4crj-mhpj

stigmem-node's Postgres schema identifier handling required defensive quoting

Published
May 29, 2026
Updated
May 29, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

Blast Radius

1 pkg affected
🐍stigmem-node

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Impact

Postgres backend schema identifiers were interpolated into SQL strings. In the reviewed code path the schema value is operator-controlled, but the pattern was unsafe if future call sites allowed tenant or request-controlled schema names. Impacted users are operators using the Postgres backend in affected versions.

Patches

Patched in 0.9.0a2. Schema identifier handling now uses defensive identifier quoting and validation-oriented regression coverage.

Workarounds

Before upgrading, only configure Postgres schema names from trusted deployment configuration and do not derive schema names from request, tenant, header, or user input.

Upgrade

Upgrade to the patched release:

pip install --upgrade --pre stigmem-node

If developers install through the Stigmem meta-package instead, they should use the matching extra for deployments, for example:

pip install --upgrade --pre 'stigmem[node]'

Resources

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIstigmem-nodeall versions0.9.0a2

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for stigmem-node. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update stigmem-node to 0.9.0a2 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-9pc9-4crj-mhpj is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-9pc9-4crj-mhpj is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-9pc9-4crj-mhpj. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact Postgres backend schema identifiers were interpolated into SQL strings. In the reviewed code path the schema value is operator-controlled, but the pattern was unsafe if future call sites allowed tenant or request-controlled schema names. Impacted users are operators using the Postgres backend in affected versions. ### Patches Patched in 0.9.0a2. Schema identifier handling now uses defensive identifier quoting and validation-oriented regression coverage. ### Workarounds Before upgrading, only configure Postgres schema names from trusted deployment configuration and do not derive sc
O3 Security · Impact-Aware SCA

Is GHSA-9pc9-4crj-mhpj in your dependencies?

O3 detects GHSA-9pc9-4crj-mhpj across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.