GHSA-977j-xj7q-2jr9
Vulnerability from github
1.0 (Low) - CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:P/VC:L/VI:L/VA:L/SC:L/SI:L/SA:L
Impact
Converting a string (from Python) to a tf.float16
value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode.
This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16
value.
Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16
value with a scalar string will trigger this issue due to automatic conversions.
This can be easily reproduced by tf.constant("hello", tf.float16)
, if eager execution is enabled.
Patches
We have patched the vulnerability in GitHub commit 5ac1b9.
We are additionally releasing TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched.
TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected.
We encourage users to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.
For more information
Please consult SECURITY.md
for more information regarding the security model and how to contact us with issues and questions.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "1.15.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.0.0" }, { "fixed": "2.0.1" } ], "type": "ECOSYSTEM" } ], "versions": [ "2.0.0" ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "1.15.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.0.0" }, { "fixed": "2.0.1" } ], "type": "ECOSYSTEM" } ], "versions": [ "2.0.0" ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "1.15.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.0.0" }, { "fixed": "2.0.1" } ], "type": "ECOSYSTEM" } ], "versions": [ "2.0.0" ] } ], "aliases": [ "CVE-2020-5215" ], "database_specific": { "cwe_ids": [ "CWE-754" ], "github_reviewed": true, "github_reviewed_at": "2020-01-28T21:24:08Z", "nvd_published_at": null, "severity": "LOW" }, "details": "### Impact\n\nConverting a string (from Python) to a `tf.float16` value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode.\n\nThis issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a `tf.float16` value.\n\nSimilar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar `tf.float16` value with a scalar string will trigger this issue due to automatic conversions.\n\nThis can be easily reproduced by `tf.constant(\"hello\", tf.float16)`, if eager execution is enabled.\n\n### Patches\nWe have patched the vulnerability in GitHub commit [5ac1b9](https://github.com/tensorflow/tensorflow/commit/5ac1b9e24ff6afc465756edf845d2e9660bd34bf).\n\nWe are additionally releasing TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched.\n\nTensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected.\n\nWe encourage users to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.\n\n### For more information\n\nPlease consult [`SECURITY.md`](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.", "id": "GHSA-977j-xj7q-2jr9", "modified": "2024-10-30T21:27:16Z", "published": "2020-01-28T21:32:29Z", "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-977j-xj7q-2jr9" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-5215" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/5ac1b9e24ff6afc465756edf845d2e9660bd34bf" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-303.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-338.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-258.yaml" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v1.15.2" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.0.1" } ], "schema_version": "1.4.0", "severity": [ { "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:L", "type": "CVSS_V3" }, { "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:P/VC:L/VI:L/VA:L/SC:L/SI:L/SA:L", "type": "CVSS_V4" } ], "summary": "Segmentation faultin TensorFlow when converting a Python string to `tf.float16`" }
Sightings
Author | Source | Type | Date |
---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.