CVE-2022-23583

Vulnerability in tensorflow (CVE-2022-23583)

Summary

Vulnerability in tensorflow (CVE-2022-23583). Risk of unauthorized operations or information disclosure. Exploitable via SavedModel. Mitigation: upgrade to 2.7.1 or later.

Original description

The description as published by the source.

Impact

A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved:

functor::BinaryFunctor()(
    eigen_device, out->template flat(),
    input_0.template flat(), input_1.template flat(),
    error_ptr);

If Tin and Tout don't match the type of data in out and input_* tensors then flat<*> would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a CHECK crash, hence a denial of service.

Patches

We have patched the issue in GitHub commit a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

For more information

Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURI…

Source: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory OSV

Auto-generated summary

Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.

A vulnerability tracked as CVE-2022-23583 has been found in tensorflow.
Attackers can target a specific entry point like SavedModel over the network to misuse the product.
Risk of unauthorized operations or information disclosure.
What to do: upgrade tensorflow to 2.7.1 or later.
If unsure, ask your IT team or search "tensorflow CVE-2022-23583" on the vendor's site.

CVE-2022-23583 (tensorflow) — CWE-617
Attack vector: remote (network-reachable) / no user interaction
Attack surface: SavedModel / CHECK / dtype / Tin
Patched: 2.7.1 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.

❓ What is the problem

A vulnerability (CWE-617) exists in tensorflow. Attackers reach the vulnerable code path via SavedModel.

📍 Affected scope

Check the vendor advisory for the affected versions of tensorflow. Attack surface: SavedModel / CHECK / dtype / Tin.

🔥 Severity

Severity: ?. Risk of unauthorized operations or information disclosure.

🔧 How to fix

Update to 2.7.1.

🛡️ Workaround

Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'tensorflow' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.

Response actions

Concrete steps and command examples for SOC/SRE teams to execute in order

1
Identify exposure identify
```
grep -r 'tensorflow' . | grep -v node_modules
```
リポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で tensorflow を grep し、稼働しているサービス・バージョンを把握する。
2
Apply patch patch
```
Upgrade tensorflow to 2.7.1
```
ステージング環境で 2.7.1 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
3
Post-deployment verification verify
```
Confirm patched version is live in production
```
パッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

Affected packages

PyPI tensorflow

[{"type":"ECOSYSTEM","events":[{"introduced":"2.7.0"},{"fixed":"2.7.1"}]}]

PyPI tensorflow-cpu

[{"type":"ECOSYSTEM","events":[{"introduced":"2.7.0"},{"fixed":"2.7.1"}]}]

PyPI tensorflow-gpu

[{"type":"ECOSYSTEM","events":[{"introduced":"2.7.0"},{"fixed":"2.7.1"}]}]

References

Metadata

CVE: CVE-2022-23583
GHSA: GHSA-gjqc-q9g6-q2j3
Published: 2022-02-10
First seen on SecPulse: 4 years ago
First-seen source: OSV.dev (Open Source Vulnerabilities)

CWE

CWE-617 CWE-843

Detection sources

OSV.dev (Open Source Vulnerabilities) 3 months ago