TensorFlow is an open source platform for machine learning. The ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
CVE-2022-35939
This high-severity CVE scores 7.0 under NVD CVSS v3. EPSS exploit probability: 0.2%, top 54% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 7.0
- EG Score
- 7.0(medium)
- EPSS
- 37.0%
- KEV
- Not listed
Published
September 16, 2022
Last Modified
November 21, 2024
References (6)
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/blob/266558ac4c1f361e9a178ee9d3f0ce2e648ae499/tensorflow/lite/kernels/internal/reference/reference_ops.h#L659-L698
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/b4d4b4cb019bd7240a52daa4ba61e3cc814f0384
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-ffjm-4qwc-7cmf
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/blob/266558ac4c1f361e9a178ee9d3f0ce2e648ae499/tensorflow/lite/kernels/internal/reference/reference_ops.h#L659-L698
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/b4d4b4cb019bd7240a52daa4ba61e3cc814f0384
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-ffjm-4qwc-7cmf
Affected Packages
(3 across 1 ecosystem)
PyPI(3)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| tensorflow | 2.9.0 | 2.9.1 | — |
| tensorflow-cpu | 2.9.0 | 2.9.1 | — |
| tensorflow-gpu | 2.9.0 | 2.9.1 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 14× in last 7d / 49× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
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Related CVEs(same CWE)
Same CWE
10 shownCWE-787
- CVE-2007-0158EG 9.8CRITICAL
- CVE-2007-0899EG 9.8CRITICAL
- CVE-2011-2462EG 9.8 KEVEPSS 100%CRITICAL
- CVE-2010-20115EG 9.3CRITICAL
- CVE-2010-4398NVD 7.8EG 9.0 KEVEPSS 95%HIGH
- CVE-2010-3333NVD 7.8EG 9.0 KEVEPSS 100%HIGH
- CVE-2010-2883NVD 7.3EG 9.0 KEVEPSS 100%HIGH
- CVE-2010-1297NVD 7.8EG 9.0 KEVEPSS 100%HIGH
- CVE-2009-3953NVD 8.8EG 9.0 KEVEPSS 100%HIGH
- CVE-2009-3129NVD 7.8EG 9.0 KEVEPSS 100%HIGH
Frequently asked(5)
What is CVE-2022-35939?
When was CVE-2022-35939 disclosed?
Is CVE-2022-35939 actively exploited?
What is the CVSS score of CVE-2022-35939?
How do I remediate CVE-2022-35939?
Dependency Blast Radius
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