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GHSA-pqrv-8r2f-7278

MEDIUMFix: tensorflow/tensorflow@9550598

GHSA-pqrv-8r2f-7278 is a medium-severity (CVSS 5.9) CWE-754 vulnerability in tensorflow. 1 public exploit reference exists, so weaponization risk is real. O3 Security confirms whether GHSA-pqrv-8r2f-7278 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Crash due to erroneous `StatusOr` in TensorFlow

Also known asBIT-tensorflow-2022-23590CVE-2022-23590PYSEC-2022-154PYSEC-2022-99PYSEC-2026-3225
Published
Feb 9, 2022
Updated
Jul 13, 2026
Affected
3 pkgs
Patched
3 / 3
Exploits
1 known
Exploitation data as of Aug 3, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
1.0%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs59th percentile — riskier than 59% of all scored CVEsHighest risk
0.00%0.49%0.98%1.47%0.2%1.0%Feb 26Jun 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-pqrv-8r2f-7278 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 365,017 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

3 pkgs affected
🐍tensorflow🐍tensorflow-cpu🐍tensorflow-gpu

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

A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it:

  if (op_reg_data->type_ctor != nullptr) {
    VLOG(3) << "AddNode: found type constructor for " << node_def.name();
    const auto ctor_type =
        full_type::SpecializeType(AttrSlice(node_def), op_reg_data->op_def);
    const FullTypeDef ctor_typedef = ctor_type.ValueOrDie();
    if (ctor_typedef.type_id() != TFT_UNSET) {
      *(node_def.mutable_experimental_type()) = ctor_typedef;
    }
  }

If ctor_type is an error status, ValueOrDie results in a crash.

Patches

We have patched the issue in GitHub commit 955059813cc325dc1db5e2daa6221271406d4439.

We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Affected Packages

3 total 3 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPItensorflowall versions2.7.1
🐍PyPItensorflow-cpuall versions2.7.1
🐍PyPItensorflow-gpuall versions2.7.1
Exploits & PoCs
1

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for tensorflow. 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 tensorflow to 2.7.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-pqrv-8r2f-7278 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-pqrv-8r2f-7278 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-pqrv-8r2f-7278. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering [a `StatusOr` value that is an error and forcibly extracting the value from it](https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567): ```cc if (op_reg_data->type_ctor != nullptr) { VLOG(3) << "AddNode: found type constructor for " << node_def.name(); const auto ctor_type = full_type::SpecializeType(AttrSlice(node_def), op_reg_data->op_def); const FullTypeDef
O3 Security · Impact-Aware SCA

Is GHSA-pqrv-8r2f-7278 in your dependencies?

O3 detects GHSA-pqrv-8r2f-7278 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.

GHSA-pqrv-8r2f-7278: Crash due to… | O3 Security