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Not in CISA KEV
HIGH severity

GHSA-73jc-5mrq-prw7

HIGH

GHSA-73jc-5mrq-prw7 is a high-severity (CVSS 7.5) Uncontrolled Resource Consumption vulnerability in sqlfluff. O3 Security confirms whether GHSA-73jc-5mrq-prw7 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

SQLFluff: Uncontrolled Resource Consumption in SQLFluff Parser

Also known asCVE-2026-46374PYSEC-2026-210
Published
May 19, 2026
Updated
Jul 6, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Aug 10, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-73jc-5mrq-prw7.

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs18th percentile — riskier than 18% of all scored CVEsHighest risk
0.00%0.25%0.51%0.76%0.3%0.3%0.3%Jul 26Aug 26Aug 26

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

GHSA-73jc-5mrq-prw7 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 0 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐍sqlfluff

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

In deployments where untrusted users can provide SQL queries to be linted, an untrusted user can submit a malicious long query to any application using the parser to trigger a Denial of Service through resource exhaustion.

Patches

Versions 4.2.0 and up contain a configurable parse node limit, which is enabled by default, to prevent this manner of exploit.

Credit

Ori Nakar from Imperva Threat Research Team.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIsqlfluffall versions4.2.0

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for sqlfluff. 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 sqlfluff to 4.2.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-73jc-5mrq-prw7 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-73jc-5mrq-prw7 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-73jc-5mrq-prw7. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact In deployments where untrusted users can provide SQL queries to be linted, an untrusted user can submit a malicious long query to any application using the parser to trigger a Denial of Service through resource exhaustion. ### Patches Versions 4.2.0 and up contain a configurable parse node limit, which is enabled by default, to prevent this manner of exploit. ### Credit Ori Nakar from Imperva Threat Research Team.
O3 Security · Impact-Aware SCA

Is GHSA-73jc-5mrq-prw7 in your dependencies?

O3 detects GHSA-73jc-5mrq-prw7 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.