TensorFlow up to 2.3.0 tf.strings.as_string fill input validation
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.6 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic was found in TensorFlow up to 1.15.3/2.0.2/2.1.1/2.2.0/2.3.0. Affected by this vulnerability is an unknown functionality of the file tf.strings.as_string. Such manipulation of the argument fill as part of Argument leads to input validation. This vulnerability is listed as CVE-2020-15203. The attack may be performed from remote. There is no available exploit. Upgrading the affected component is advised.
Details
A vulnerability was found in TensorFlow up to 1.15.3/2.0.2/2.1.1/2.2.0/2.3.0 (Artificial Intelligence Software). It has been rated as problematic. Affected by this issue is an unknown function of the file tf.strings.as_string. The manipulation of the argument fill as part of a Argument leads to a input validation vulnerability. Using CWE to declare the problem leads to CWE-20. The product receives input or data, but it does
not validate or incorrectly validates that the input has the
properties that are required to process the data safely and
correctly. Impacted is availability. CVE summarizes:
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
The weakness was presented 09/25/2020 (GitHub Repository). The advisory is shared for download at github.com. This vulnerability is handled as CVE-2020-15203 since 06/25/2020. The attack may be launched remotely. No form of authentication is required for exploitation. There are known technical details, but no exploit is available.
Upgrading to version 1.15.4, 2.0.3, 2.1.2, 2.2.1 or 2.3.1 eliminates this vulnerability. Applying the patch 33be22c65d86256e6826666662e40dbdfe70ee83 is able to eliminate this problem. The best possible mitigation is suggested to be upgrading to the latest version.
See VDB-162012, VDB-162011, VDB-162010 and VDB-162009 for similar entries. VulDB is the best source for vulnerability data and more expert information about this specific topic.
Product
Type
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.1
VulDB Base Score: 5.3
VulDB Temp Score: 4.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Input validationCWE: CWE-20
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 1.15.4/2.0.3/2.1.2/2.2.1/2.3.1
Patch: 33be22c65d86256e6826666662e40dbdfe70ee83
Timeline
06/25/2020 🔍09/25/2020 🔍
09/26/2020 🔍
11/14/2020 🔍
Sources
Product: github.comAdvisory: github.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2020-15203 (🔍)
GCVE (CVE): GCVE-0-2020-15203
GCVE (VulDB): GCVE-100-162008
See also: 🔍
Entry
Created: 09/26/2020 07:30Updated: 11/14/2020 13:45
Changes: 09/26/2020 07:30 (42), 09/26/2020 07:35 (12), 11/13/2020 07:56 (1), 11/14/2020 13:36 (1), 11/14/2020 13:45 (1)
Complete: 🔍
Cache ID: 216::103
VulDB is the best source for vulnerability data and more expert information about this specific topic.
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