EUVD-2025-16710Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V8 - Authorization Authorization logic validation
MITRE ATT&CK
1 technique across 1 tactic: Privilege Escalation The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Impact | CVSS 8.6 (High). KEV-listed — actively exploited. Companion to CVE-2025-21480. Indicates systemic GPU firmware weakness. Kernel-level access path. EPSS 0.1% but confirmed exploited. |
| Exploit ScenarioDerived | Similar to CVE-2025-21480: a malicious app or web content triggers unauthorized GPU command execution through a different code path, achieving kernel memory corruption and privilege escalation. May be used as an alternative when the CVE-2025-21480 path is patched. |
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Alert meAnalysisAIv1 – Mar 14, 2026
A second Qualcomm GPU micronode memory corruption vulnerability (CVE-2025-21479, CVSS 8.6) exists in the unauthorized command execution path during specific GPU command sequences. KEV-listed alongside CVE-2025-21480, this indicates a systemic issue in Qualcomm's GPU micronode command validation that is being actively exploited in mobile attack chains.
Earlier versions of this analysis (1)
Qualcomm GPU micronode contains a second memory corruption vulnerability (CWE-863) from unauthorized command execution during specific GPU command sequences, related to but distinct from CVE-2025-21480.
RemediationAI
Apply Android security patch. Both CVE-2025-21479 and CVE-2025-21480 must be patched. Enforce minimum security patch levels via MDM.
Affected VersionsENISA
Affects your stack
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Technical ContextAI · show details
This is a separate vulnerability in the same Qualcomm GPU micronode component as CVE-2025-21480, suggesting a systemic weakness in command validation within the GPU firmware. Both vulnerabilities stem from insufficient authorization checks on GPU commands, indicating that multiple command paths lack proper validation. The dual CVEs suggest the attack surface in GPU firmware is broader than initially assessed.
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Severity by source
AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
Lifecycle Timeline
2DescriptionCVE.org
Memory corruption due to unauthorized command execution in GPU micronode while executing specific sequence of commands.
Executive ViewAI
CVE-2025-21479 is a high-severity GPU micronode vulnerability being actively exploited in the wild that allows unauthorized command execution through memory corruption. Organizations running affected GPU infrastructure face immediate risk of system compromise, data exfiltration, and operational disruption, requiring urgent mitigation despite the absence of an available patch.
Implement network segmentation isolating GPU micronodes from user-facing applications; deploy WAF/IDS rules to detect and block malicious GPU command sequences; disable GPU features not actively required for business operations; restrict administrative access to GPU micronode configuration; implement API rate limiting on GPU command execution; enable GPU micronode command logging and real-time alerting on suspicious patterns; consider temporary workload migration to non-GPU infrastructure for non-essential operations.
Threat Intelligence Overview
NVD
CVE.org
CISA KEV
EPSS
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
OS command injection occurs when an application passes unsanitized user input directly into system shell commands.
Memory corruption occurs when a program writes data beyond the boundaries of allocated memory regions or accesses memory in unintended ways, violating the integrity of the process's address space.
Remote Code Execution represents the critical moment when an attacker successfully runs arbitrary code on a target system without physical access.
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GitHub PoC
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