CVE-2018-10055 json
Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow
published 2019-04-24 7 y ago modified 2026-06-17 4 mo ago also GHSA-q492-f7gr-27rp , PYSEC-2019-204 , PYSEC-2019-222 , PYSEC-2019-229 , EUVD-2019-0137
- cvss
- 8.1
- version 3.0, NVD
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.5%
- EPSS 0.5% chance of exploitation in 30 days, percentile 45%
- public exploits
- 0
- none known
Summary
Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.
Patch / fix
- pypi tensorflow 1.7.1
- pypi tensorflow-gpu 1.7.1
- pypi tensorflow-cpu 1.7.1
- google tensorflow 1.7.1
Exploit prediction
0.54% chance of exploitation in the next 30 days, higher than 45% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| NVD | 3.0 | 8.1 | CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H |
| NVD | 2.0 | 5.8 | AV:N/AC:M/Au:N/C:P/I:N/A:P |
| GitHub | 3.0 | 8.1 | CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tensorflow | >=1.1.0, <1.7.1 <1.7.1 |
1.7.1 |
| pypi | tensorflow-gpu | >=1.1.0, <1.7.1 <1.7.1 |
1.7.1 |
| pypi | tensorflow-cpu | <1.7.1 |
1.7.1 |
Classification
- Weakness
-
- CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer
References
-
github.com
/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-006.md
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/commit/c89ab82a82585cdaa90bf4911980e9e845909e78
web
-
nvd.nist.gov
/vuln/detail/CVE-2018-10055
advisory
-
github.com
/advisories/GHSA-q492-f7gr-27rp
advisory
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-222.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-229.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-204.yaml
web
-
github.com
/tensorflow/tensorflow
package
Sources
- CVE List CVE-2018-10055
- GitHub Advisory GHSA-q492-f7gr-27rp
- NVD CVE-2018-10055
- OSV PYSEC-2019-204
- OSV PYSEC-2019-229
- OSV PYSEC-2019-222
Fencer Vulns 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.