CVE-2020-15212
TensorFlow Lite Negative Segment Ids Out-of-Bounds Write
Description
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `output_data` buffer. This might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are all positive, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
INFO
Published Date :
Sept. 25, 2020, 7:15 p.m.
Last Modified :
Aug. 17, 2021, 1:21 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
4.7
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2020-15212.
| URL | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx2x-85gr-wrpq | Exploit Patch Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2020-15212 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-15212 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CPE Deprecation Remap by [email protected]
Aug. 17, 2021
Action Type Old Value New Value Changed CPE Configuration OR *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.3.0 from (excluding) 2.3.1 OR *cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.3.0 from (excluding) 2.3.1 -
CPE Deprecation Remap by [email protected]
Aug. 17, 2021
Action Type Old Value New Value Changed CPE Configuration OR *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.2.0 from (excluding) 2.2.1 OR *cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.2.0 from (excluding) 2.2.1 -
Initial Analysis by [email protected]
Oct. 01, 2020
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:P/I:P/A:P) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a No Types Assigned https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 No Types Assigned https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx2x-85gr-wrpq No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx2x-85gr-wrpq Exploit, Patch, Third Party Advisory Added CWE NIST CWE-787 Added CPE Configuration OR *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.2.0 up to (excluding) 2.2.1 *cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:lite:*:*:* versions from (including) 2.3.0 up to (excluding) 2.3.1
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2020-15212 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2020-15212
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.26 }} 0.04%
score
0.62268
percentile