Google Android nla_parse out-of-bounds

CVSS Meta Temp Score
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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.
6.6$0-$5k0.00

Summaryinfo

A vulnerability has been found in Google Android and classified as problematic. This impacts the function nla_parse. The manipulation leads to out-of-bounds. This vulnerability is uniquely identified as CVE-2022-20385. No exploit exists. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability was found in Google Android (Smartphone Operating System) (the affected version unknown). It has been rated as problematic. This issue affects the function nla_parse. The manipulation with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality. The summary by CVE is:

a function called 'nla_parse', do not check the len of para, it will check nla_type (which can be controlled by userspace) with 'maxtype' (in this case, it is GSCAN_MAX), then it access polciy array 'policy[type]', which OOB access happens.Product: AndroidVersions: Android SoCAndroid ID: A-238379819

The weakness was disclosed 09/14/2022 as A-238379819. It is possible to read the advisory at source.android.com. The identification of this vulnerability is CVE-2022-20385 since 10/14/2021. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/17/2022). It is expected to see the exploit prices for this product increasing in the near future.

Applying a patch is able to eliminate this problem.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.6
VulDB Meta Temp Score: 6.6

VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Out-of-bounds
CWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
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: Patch
Status: 🔍

0-Day Time: 🔍

Timelineinfo

10/14/2021 🔍
09/14/2022 +335 days 🔍
09/14/2022 +0 days 🔍
10/17/2022 +33 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: A-238379819
Status: Confirmed

CVE: CVE-2022-20385 (🔍)
GCVE (CVE): GCVE-0-2022-20385
GCVE (VulDB): GCVE-100-208547
scip Labs: https://www.scip.ch/en/?labs.20150917

Entryinfo

Created: 09/14/2022 11:36
Updated: 10/17/2022 09:01
Changes: 09/14/2022 11:36 (41), 10/17/2022 09:01 (11)
Complete: 🔍
Cache ID: 216::103

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