TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's GatherNd implementation does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in indices. Similar issue exists in Gather implementation. We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
CVE-2021-37687
This medium-severity CVE scores 5.5 under NVD CVSS v3. EPSS exploit probability: 0.2%, top 91% 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).
- Lower severity and no public exploit yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 5.5
- EG Score
- 5.5(medium)
- EG Risk
- 29(Track)EG Risk 29/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity55% × 45%Exploitation0% × 40%Automatability30% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 9.0%
- KEV
- Not listed
Published
August 12, 2021
Last Modified
November 21, 2024
References (6)
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/bb6a0383ed553c286f87ca88c207f6774d5c4a8f
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/eb921122119a6b6e470ee98b89e65d721663179d
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-jwf9-w5xm-f437
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/bb6a0383ed553c286f87ca88c207f6774d5c4a8f
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/eb921122119a6b6e470ee98b89e65d721663179d
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jwf9-w5xm-f437
Affected Packages
(3 across 1 ecosystem)
PyPI(3)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| tensorflow | 2.3.0 ... 2.4.2 (7 versions) | 2.4.3 | — |
| tensorflow-cpu | 2.3.0 ... 2.4.2 (7 versions) | 2.4.3 | — |
| tensorflow-gpu | 2.3.0 ... 2.4.2 (7 versions) | 2.4.3 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 17× 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.
Showing the most recent 100 of 103 total refreshes for this CVE.
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Related CVEs(same CWE)
Same CWE
10 shownCWE-125
- CVE-2014-2898EG 9.8CRITICAL
- CVE-2014-2897EG 9.8CRITICAL
- CVE-2014-2896EG 9.8CRITICAL
- CVE-2015-9290EG 9.8CRITICAL
- CVE-2016-10749EG 9.8CRITICAL
- CVE-1999-0006EG 9.8EPSS 96%CRITICAL
- CVE-2014-3180EG 9.1CRITICAL
- CVE-2014-1508EG 9.1EPSS 90%CRITICAL
- CVE-2016-5198NVD 8.8EG 9.0 KEVEPSS 98%HIGH
- CVE-2016-4523NVD 7.5EG 9.0 KEVEPSS 98%HIGH
Frequently asked(5)
What is CVE-2021-37687?
When was CVE-2021-37687 disclosed?
Is CVE-2021-37687 actively exploited?
What is the CVSS score of CVE-2021-37687?
How do I remediate CVE-2021-37687?
Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2021-37687
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