Qualcomm Snapdragon Mobile up to SD 845 Android Command Line Tool Account access control

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.
5.4$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Qualcomm Snapdragon Mobile, Snapdragon Wear and Snapdragon Automobile. Affected by this vulnerability is an unknown functionality of the component Android Command Line Tool. Performing a manipulation results in access control (Account). This vulnerability is cataloged as CVE-2017-18275. The attack must be initiated from a local position. There is no exploit available.

Detailsinfo

A vulnerability, which was classified as critical, was found in Qualcomm Snapdragon Mobile, Snapdragon Wear and Snapdragon Automobile (Chip Software). This affects some unknown functionality of the component Android Command Line Tool. The manipulation with an unknown input leads to a access control vulnerability (Account). CWE is classifying the issue as CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

A new account can be inserted into simContacts service using Android command line tool in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in MDM9206, MDM9607, MDM9650, MSM8909W, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 615/16/SD 415, SD 617, SD 625, SD 650/52, SD 820, SD 820A, SD 835, SD 845.

The weakness was shared 05/06/2019. This vulnerability is uniquely identified as CVE-2017-18275 since 05/18/2018. The exploitability is told to be easy. An attack has to be approached locally. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/12/2023). MITRE ATT&CK project uses the attack technique T1068 for this issue.

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

The entries VDB-134411, VDB-134408, VDB-134406 and VDB-134405 are related to this item. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.4

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

NVD Base Score: 5.5
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

Name: Account
Class: Access control / Account
CWE: CWE-284 / CWE-266
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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

05/18/2018 🔍
05/06/2019 +353 days 🔍
05/07/2019 +1 days 🔍
09/12/2023 +1589 days 🔍

Sourcesinfo

Vendor: qualcomm.com

Advisory: qualcomm.com
Status: Not defined

CVE: CVE-2017-18275 (🔍)
GCVE (CVE): GCVE-0-2017-18275
GCVE (VulDB): GCVE-100-134409
See also: 🔍

Entryinfo

Created: 05/07/2019 07:09
Updated: 09/12/2023 15:06
Changes: 05/07/2019 07:09 (37), 06/07/2020 09:53 (18), 09/12/2023 15:06 (3)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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