Qualcomm Snapdragon Compute up to XG101039 IOCTL buffer over-read

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 (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
7.6$0-$5k0.00

Summaryinfo

A vulnerability was found in Qualcomm Snapdragon Compute, Snapdragon Industrial IOT and Snapdragon Mobile. It has been rated as critical. The impacted element is an unknown function of the component IOCTL Handler. Performing a manipulation results in buffer over-read. This vulnerability was named CVE-2026-21378. The attack needs to be approached locally. There is no available exploit. Upgrading the affected component is advised.

Detailsinfo

A vulnerability, which was classified as critical, was found in Qualcomm Snapdragon Compute, Snapdragon Industrial IOT and Snapdragon Mobile. This affects an unknown function of the component IOCTL Handler. The manipulation with an unknown input leads to a buffer over-read vulnerability. CWE is classifying the issue as CWE-126. The product reads from a buffer using buffer access mechanisms such as indexes or pointers that reference memory locations after the targeted buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Memory Corruption when accessing an output buffer without validating its size during IOCTL processing in a camera sensor driver.

The advisory is shared at docs.qualcomm.com. This vulnerability is uniquely identified as CVE-2026-21378 since 12/17/2025. The exploitability is told to be easy. An attack has to be approached locally. 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 04/06/2026).

Upgrading eliminates this vulnerability.

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: 7.8
VulDB Meta Temp Score: 7.6

VulDB Base Score: 7.8
VulDB Temp Score: 7.5
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.8
CNA Vector (qualcomm): 🔒

CVSSv2info

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

Exploitinginfo

Class: Buffer over-read
CWE: CWE-126 / CWE-119
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: Upgrade
Status: 🔍

0-Day Time: 🔒

Timelineinfo

12/17/2025 CVE reserved
04/06/2026 +109 days Advisory disclosed
04/06/2026 +0 days VulDB entry created
04/06/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: qualcomm.com

Advisory: docs.qualcomm.com
Status: Confirmed

CVE: CVE-2026-21378 (🔒)
GCVE (CVE): GCVE-0-2026-21378
GCVE (VulDB): GCVE-100-355593

Entryinfo

Created: 04/06/2026 18:57
Changes: 04/06/2026 18:57 (63)
Complete: 🔍
Cache ID: 216:685:103

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

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