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Vulnerability details: VCID-qxqd-f1bw-y7h4
Vulnerability ID VCID-qxqd-f1bw-y7h4
Aliases CVE-2022-21732
GHSA-c582-c96p-r5cq
PYSEC-2022-111
PYSEC-2022-56
Summary Tensorflow is an Open Source Machine Learning Framework. The implementation of `ThreadPoolHandle` can be used to trigger a denial of service attack by allocating too much memory. This is because the `num_threads` argument is only checked to not be negative, but there is no upper bound on its value. 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.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (4)
CWE-400 Uncontrolled Resource Consumption
CWE-770 Allocation of Resources Without Limits or Throttling
CWE-937 OWASP Top Ten 2013 Category A9 - Using Components with Known Vulnerabilities
CWE-1035 OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities
System Score Found at
epss 0.0022 https://api.first.org/data/v1/epss?cve=CVE-2022-21732
cvssv3.1_qr MODERATE https://github.com/advisories/GHSA-c582-c96p-r5cq
cvssv3.1_qr MODERATE https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq
Reference id Reference type URL
https://api.first.org/data/v1/epss?cve=CVE-2022-21732
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-56.yaml
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-111.yaml
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/experimental/threadpool_dataset_op.cc#L79-L135
https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c582-c96p-r5cq
CVE-2022-21732 https://nvd.nist.gov/vuln/detail/CVE-2022-21732
GHSA-c582-c96p-r5cq https://github.com/advisories/GHSA-c582-c96p-r5cq
No exploits are available.
Exploit Prediction Scoring System (EPSS)
Percentile 0.44623
EPSS Score 0.0022
Published At May 30, 2026, 12:55 p.m.
Date Actor Action Source VulnerableCode Version
2026-05-30T20:29:27.244186+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2022-56.yaml 38.6.0