Google TensorFlow up to 1.7.x integer overflow

Summaryinfo

A vulnerability classified as critical has been found in Google TensorFlow up to 1.7.x. This affects an unknown function. The manipulation leads to integer overflow. This vulnerability is documented as CVE-2018-7575. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Google TensorFlow up to 1.7.x. This issue affects some unknown processing. The manipulation with an unknown input leads to a integer overflow vulnerability. Using CWE to declare the problem leads to CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Google TensorFlow 1.7.x and earlier is affected by a Buffer Overflow vulnerability. The type of exploitation is context-dependent.

The bug was discovered 07/11/2018. The weakness was released 04/24/2019 (GitHub Repository). The advisory is shared at github.com. The identification of this vulnerability is CVE-2018-7575 since 02/28/2018. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 06/01/2020).

The vulnerability was handled as a non-public zero-day exploit for at least 287 days. During that time the estimated underground price was around $5k-$25k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Entries connected to this vulnerability are available at VDB-134022, VDB-134020 and VDB-134017. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• Google

Name

• TensorFlow

Version

• 1.0
• 1.1
• 1.2
• 1.3
• 1.4
• 1.5
• 1.6
• 1.7

License

• free

Website

• Vendor: https://www.google.com/

CPE 2.3info

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CPE 2.2info

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Entryinfo

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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