CVE-2019-16778 json
Heap buffer overflow in `UnsortedSegmentSum` in TensorFlow
published 6y ago modified 4mo ago also GHSA-844w-j86r-4x2j , PYSEC-2019-209 , PYSEC-2019-227 , PYSEC-2019-234 , EUVD-2019-0142
- cvss
- 2.6
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.8%
- EPSS 0.8% chance of exploitation in 30 days, percentile 56%
- public exploits
- 0
- none known
Summary
In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.
Patch / fix
- pypi tensorflow 1.15.0
- pypi tensorflow-cpu 1.15.0
- pypi tensorflow-gpu 1.15.0
- tensorflow tensorflow 1.15
Is CVE-2019-16778 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerExploit prediction
0.79% chance of exploitation in the next 30 days, higher than 56% of all scored CVEs (FIRST EPSS, 2026-11-09).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 2.6 | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:L |
| NVD | 3.1 | 9.8 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| NVD | 2.0 | 7.5 | AV:N/AC:L/Au:N/C:P/I:P/A:P |
| GitHub | 3.1 | 2.6 | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:L |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tensorflow | <1.15.0 >=1.0.0, <1.15.0 |
1.15.0 |
| pypi | tensorflow-cpu | <1.15.0 >=1.0.0, <1.15.0 |
1.15.0 |
| pypi | tensorflow-gpu | <1.15.0 >=1.0.0, <1.15.0 |
1.15.0 |
Affected products
- tensorflow tensorflow
Classification
References
-
github.com
/tensorflow/tensorflow/commit/db4f9717c41bccc3ce10099ab61996b246099892
web, patch
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-844w-j86r-4x2j
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2019-002.md
web, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2019-16778
advisory
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-227.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-234.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-209.yaml
web
-
github.com
/tensorflow/tensorflow
package
Sources
- CVE List CVE-2019-16778
- GitHub Advisory GHSA-844w-j86r-4x2j
- NVD CVE-2019-16778
- OSV PYSEC-2019-209
- OSV PYSEC-2019-234
- OSV PYSEC-2019-227
Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.