TensorFlow vulnerable to heap out of bounds read in filesystem glob matching
Impact
The general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories:
if (!fs->Match(child_path, dirs[dir_index])) { ... }Since dir_index is unconditionaly incremented outside of the lambda function where the vulnerable pattern occurs, this results in an access out of bounds issue under certain scenarios. For example, if /tmp/x is a directory that only contains a single file y, then the following scenario will cause a crash due to the out of bounds read:
>>> tf.io.gfile.glob('/tmp/x/')
Segmentation faultThere are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these.
Patches
We have patched the issue in GitHub commit 8b5b9dc96666a3a5d27fad7179ff215e3b74b67c and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
Betroffene Software
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| Plattform | Paket | Anfällige Versionen | Behoben in |
|---|---|---|---|
| Python (PyPI) | tensorflow | >= 2.4.0rc0, < 2.4.0 | 2.4.0 |
| Python (PyPI) | tensorflow-cpu | >= 2.4.0rc0, < 2.4.0 | 2.4.0 |
| Python (PyPI) | tensorflow-gpu | >= 2.4.0rc0, < 2.4.0 | 2.4.0 |
Verweise
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9jjw-hf72-3mxw
- https://github.com/tensorflow/tensorflow/commit/8b5b9dc96666a3a5d27fad7179ff215e3b74b67c
- https://nvd.nist.gov/vuln/detail/CVE-2020-26269
- https://github.com/tensorflow/tensorflow/pull/40861
- https://github.com/tensorflow/tensorflow/pull/44310
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-300.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-335.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-141.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/458c6260265c46ebaf18052d6c61aea4b6b40926/tensorflow/core/platform/file_system_helper.cc#L106
- https://github.com/tensorflow/tensorflow/blob/458c6260265c46ebaf18052d6c61aea4b6b40926/tensorflow/core/platform/file_system_helper.cc#L127
- CVSS-Vektor
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H- Schwäche (CWE)
CWE-125- Plattform
- Python (PyPI)
- Paket
tensorflow, tensorflow-cpu, tensorflow-gpu- Veröffentlicht
- 10.12.2020
- Aktualisiert
- 11.10.2026 15:17
Quellen und Lizenzen
OSV / GitHub Advisory Database - PYSEC-2020-141 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2020-300 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2020-335 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-9jjw-hf72-3mxw - CC BY 4.0
Schwachstellenhistorie: tensorflow-gpu
Alle veröffentlichten Schwachstellen dieses Pakets (Python (PyPI)), neueste zuerst. Zeigt, ob es ein einmaliger Ausrutscher ist oder ein Paket, das man im Auge behalten muss.
- Einträge insgesamt
- 427
- Erste → letzte
- 04.2019 07.2024
- Ohne Fix
- 0
- In Angriffen ausgenutzt
- 0
Verteilung nach Schweregrad
- Kritisch 6
- Hoch 109
- Mittel 207
- Niedrig 105
Veröffentlichungen pro Jahr
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 166
- 2023: 18
- 2024: 1
- 2025: 0
- 2026: 0
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TensorFlow vulnerable to heap out of bounds read in filesystem glob matching dieser Eintrag
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