Qualcomm Snapdragon Compute/Snapdragon Industrial IOT Memory Allocator 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.
8.2$5k-$25k0.00+

Summaryinfo

A vulnerability was found in Qualcomm Snapdragon Compute and Snapdragon Industrial IOT. It has been rated as very critical. This issue affects some unknown processing of the component Memory Allocator. The manipulation leads to memory corruption. This vulnerability is listed as CVE-2026-21379. The attack must be carried out locally. There is no available exploit.

Detailsinfo

A vulnerability was found in Qualcomm Snapdragon Compute and Snapdragon Industrial IOT (version unknown). It has been rated as very critical. This issue affects an unknown function of the component Memory Allocator. 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:

Memory Corruption when allocating memory with sizes that exceed the maximum allowed value.

It is possible to read the advisory at docs.qualcomm.com. The identification of this vulnerability is CVE-2026-21379 since 12/17/2025. The exploitation is known to be easy. Attacking locally is a requirement. Additional levels of successful authentication are necessary for exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 07/06/2026).

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

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

Productinfo

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Vendor

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License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.2
VulDB Meta Temp Score: 8.2

VulDB Base Score: 8.2
VulDB Temp Score: 8.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

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

Physical: Partially
Local: Yes
Remote: No

Availability: 🔒
Status: Not defined
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

12/17/2025 CVE reserved
07/06/2026 +200 days Advisory disclosed
07/06/2026 +0 days VulDB entry created
07/06/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: qualcomm.com

Advisory: docs.qualcomm.com
Status: Confirmed

CVE: CVE-2026-21379 (🔒)
GCVE (CVE): GCVE-0-2026-21379
GCVE (VulDB): GCVE-100-376523

Entryinfo

Created: 07/06/2026 22:46
Changes: 07/06/2026 22:46 (52)
Complete: 🔍
Cache ID: 216::103

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

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