VDB-113739 · CVE-2017-17764 · BID 102974

Google Android Qualcomm wma_rx_aggr_failure_event_handler integer overflow

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability has been found in Google Android and classified as critical. Affected is the function wma_rx_aggr_failure_event_handler of the component Qualcomm. Performing a manipulation results in integer overflow. This vulnerability is cataloged as CVE-2017-17764. The attack must be initiated from a local position. There is no exploit available. 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 classified as critical. This affects the function wma_rx_aggr_failure_event_handler of the component Qualcomm. The manipulation with an unknown input leads to a integer overflow vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

In all Qualcomm products with Android releases from CAF using the Linux kernel, the num_failure_info value from firmware is not properly validated in wma_rx_aggr_failure_event_handler() so that an integer overflow vulnerability in a buffer size calculation may potentially lead to a buffer overflow.

The bug was discovered 02/05/2018. The weakness was shared 02/23/2018 (Website). It is possible to read the advisory at source.android.com. This vulnerability is uniquely identified as CVE-2017-17764 since 12/19/2017. The exploitability is told to be easy. Attacking locally is a requirement. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability was handled as a non-public zero-day exploit for at least 18 days. During that time the estimated underground price was around $25k-$100k.

Applying a patch is able to eliminate this problem.

The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 102974†). The entries VDB-110812, VDB-111173, VDB-112858 and VDB-112859 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Integer overflow
CWE: CWE-190 / CWE-189
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

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

12/19/2017 🔍
02/05/2018 +48 days 🔍
02/05/2018 +0 days 🔍
02/23/2018 +18 days 🔍
02/23/2018 +0 days 🔍
02/24/2018 +1 days 🔍
01/08/2020 +683 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: source.android.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-17764 (🔍)
GCVE (CVE): GCVE-0-2017-17764
GCVE (VulDB): GCVE-100-113739
SecurityFocus: 102974 - Google Android Multiple Qualcomm Components Multiple Security Vulnerabilities

scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍

Entryinfo

Created: 02/24/2018 09:23
Updated: 01/08/2020 08:52
Changes: 02/24/2018 09:23 (62), 01/08/2020 08:52 (4)
Complete: 🔍
Cache ID: 216::103

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

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