CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
5.7 | $0-$5k | 0.00 |
A vulnerability, which was classified as problematic, has been found in TensorFlow up to 1.15.3/2.0.2/2.1.1/2.2.0/2.3.0 (Artificial Intelligence Software). This issue affects an unknown part. The manipulation with an unknown input 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. The summary by CVE is:
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, 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 released 09/25/2020 (GitHub Repository). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2020-15206 since 06/25/2020. The exploitation is known to be difficult. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly 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 f760f88b4267d981e13f4b302c437ae800445968/fcfef195637c6e365577829c4d67681695956e7d is able to eliminate this problem. The best possible mitigation is suggested to be upgrading to the latest version.
Entries connected to this vulnerability are available at 162015, 162014, 162013 and 162012.
Product
Type
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB CVSS-B Score: 🔍VulDB CVSS-BT Score: 🔍
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.2
VulDB Base Score: 4.0
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.0
NVD Vector: 🔍
CVSSv2
AV | AC | Au | C | I | A |
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💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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unlock | unlock | unlock | unlock | unlock | unlock |
unlock | unlock | unlock | unlock | unlock | unlock |
unlock | unlock | unlock | unlock | unlock | unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Input validationCWE: CWE-20
ATT&CK: Unknown
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
0-Day | unlock | unlock | unlock | unlock |
---|---|---|---|---|
Today | unlock | unlock | unlock | unlock |
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: f760f88b4267d981e13f4b302c437ae800445968/fcfef195637c6e365577829c4d67681695956e7d
Timeline
06/25/2020 🔍09/25/2020 🔍
09/26/2020 🔍
11/14/2020 🔍
Sources
Advisory: github.comStatus: Not defined
Confirmation: 🔍
CVE: CVE-2020-15206 (🔍)
See also: 🔍
Entry
Created: 09/26/2020 07:31Updated: 11/14/2020 14:20
Changes: 09/26/2020 07:31 (39), 09/26/2020 07:36 (12), 11/13/2020 07:56 (1), 11/14/2020 14:15 (1), 11/14/2020 14:20 (1)
Complete: 🔍
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