In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the Shard API in TensorFlow expects the last argument to be a function taking two int64 (i.e., long long) arguments. However, there are several places in TensorFlow where a lambda taking int or int32 arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
CVE-2020-15202
This critical-severity CVE scores 9.0 under NVD CVSS v3. EPSS exploit probability: 1.3% (69th percentile of EPSS-scored CVEs). 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
A fix is available — apply it.
- CVSS v3
- 9.0
- EG Score
- 9.0CRITICALmedium confidence
- EG Risk
- 46EG Risk 46/100CISA SSVC
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 computedSeverity90% × 45%Exploitation1% × 40%Automatability30% × 15%CISA SSVC: Track at low or medium mission impact; Track* or Attend at high (mission-essential systems).Action: A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high. - EPSS PROB
- 1.3%
- EPSS %ILE
- 69th
- KEV
- Not listed
CISA SSVCTrack at low or medium mission impact; Track* or Attend at high (mission-essential systems).
A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high.
Exploitation none (no KEV listing, exploit record or EPSS ≥ 50%) · Automatable unknown (not published for this CVE) · Technical impact total (CVSS ≥ 9.0). Mission impact is CISA's Mission & Well-being decision point, and only you can judge it: high means the affected system is essential to your organisation's mission, or its compromise could cause irreversible harm to people. CISA's decision table
Published
September 25, 2020
Last Modified
November 21, 2024
Advisory Details (4)
Auto-updated Jul 26, 2026Integer truncation in Shard API usage · Advisory · tensorflow/tensorflow · GitHub
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6fg-mjxg-hqq4TensorFlow 2.3.1
Patch available: tensorflow/tensorflow v2.3.1
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1commit ca8c013b5e97 (tensorflow/tensorflow)
Patch available: tensorflow/tensorflow v2.13.0 (contains commit ca8c013b5e97)
https://github.com/tensorflow/tensorflow/commit/ca8c013b5e97b1373b3bb1c97ea655e69f31a575commit 27b417360cbd (tensorflow/tensorflow)
Patch available: tensorflow/tensorflow v2.13.0 (contains commit 27b417360cbd)
https://github.com/tensorflow/tensorflow/commit/27b417360cbd671ef55915e4bb6bb06af8b8a832Affected Packages
(3 across 1 ecosystem)
PyPI(3)
| Package | Vulnerable range | Fix by version range | Dependents |
|---|---|---|---|
| tensorflow | 0.12.0rc0 ... 2.3.0 (77 versions) |
| — |
| tensorflow-cpu | 1.15.0, 2.1.0, 2.1.1, 2.2.0, 2.3.0 |
| — |
| tensorflow-gpu | 0.12.0 ... 2.3.0 (36 versions) |
| — |
Weakness Classification(2)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 7× in last 7d / 30× 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 174 total refreshes for this CVE.
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Related CVEs(same product + same CWE)
Same product
10 shownPyPI:tensorflow-gpu
Frequently asked(5)
What is CVE-2020-15202?
When was CVE-2020-15202 disclosed?
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What is the CVSS score of CVE-2020-15202?
How do I remediate CVE-2020-15202?
Dependency Blast Radius
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