A vulnerability was found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 (Artificial Intelligence Software). It has been declared as critical. Affected by this vulnerability is the function tf.raw_ops.StringNGrams of the file core/kernels/string_ngrams_op.cc. The manipulation with an unknown input leads to a heap-based overflow vulnerability. The CWE definition for the vulnerability is CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). As an impact it is known to affect confidentiality, integrity, and availability.

The weakness was published 05/15/2021. The advisory is shared at github.com. This vulnerability is known as CVE-2021-29542. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/19/2021).

Upgrading to version 2.1.4, 2.2.3, 2.3.3, 2.4.2 or 2.5.0 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Similar entry is available at VDB-175164.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• Google

Name

• TensorFlow

Version

• 2.1.0
• 2.1.1
• 2.1.2
• 2.1.3
• 2.2.0
• 2.2.1
• 2.2.2
• 2.3.0
• 2.3.1
• 2.3.2
• 2.4.0
• 2.4.1

License

• free

CPE 2.3info

• 🔍
• 🔍
• 🔍

CPE 2.2info

• 🔍
• 🔍
• 🔍

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Threat Intelligenceinfo

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