Google TensorFlow up to 1.7 memory corruption

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.5$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Google TensorFlow up to 1.7. Affected by this vulnerability is an unknown functionality. The manipulation leads to memory corruption. This vulnerability is documented as CVE-2018-8825. The attack needs to be performed locally. There is not any exploit available.

Detailsinfo

A vulnerability was found in Google TensorFlow up to 1.7. It has been rated as critical. This issue affects an unknown code. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Google TensorFlow 1.7 and below is affected by: Buffer Overflow. The impact is: execute arbitrary code (local).

The bug was discovered 07/11/2018. The weakness was released 04/23/2019 (GitHub Repository). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2018-8825 since 03/20/2018. Attacking locally is a requirement. A simple authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 06/01/2020).

The vulnerability was handled as a non-public zero-day exploit for at least 286 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.

Entry connected to this vulnerability is available at VDB-133990. Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

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Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.1
VulDB Meta Temp Score: 6.9

VulDB Base Score: 5.3
VulDB Temp Score: 4.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

03/20/2018 🔍
07/11/2018 +113 days 🔍
04/23/2019 +286 days 🔍
04/24/2019 +1 days 🔍
06/01/2020 +404 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: github.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-8825 (🔍)
GCVE (CVE): GCVE-0-2018-8825
GCVE (VulDB): GCVE-100-133991
See also: 🔍

Entryinfo

Created: 04/24/2019 11:26
Updated: 06/01/2020 16:16
Changes: 04/24/2019 11:26 (55), 06/01/2020 16:16 (2)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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