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CVE-2022-25712: Out-of-bounds access due to ION buffer size mismatch in Qualcomm, Inc. Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Mobile, Snapdragon Wearables

Medium
Published: Tue Dec 13 2022 (12/13/2022, 00:00:00 UTC)
Source: CVE
Vendor/Project: Qualcomm, Inc.
Product: Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Mobile, Snapdragon Wearables

Description

Memory corruption in camera due to buffer copy without checking size of input in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Mobile, Snapdragon Wearables

AI-Powered Analysis

AILast updated: 06/21/2025, 19:37:23 UTC

Technical Analysis

CVE-2022-25712 is a medium-severity vulnerability affecting multiple Qualcomm Snapdragon platforms, including Snapdragon Auto, Compute, Consumer IoT, Mobile, and Wearables. The root cause is an out-of-bounds memory access triggered by a buffer size mismatch in the ION buffer management subsystem used by the camera component. Specifically, the vulnerability arises from a buffer copy operation that does not properly verify the size of the input buffer before copying data, leading to memory corruption. This type of flaw is classified under CWE-120 (Classic Buffer Overflow). The affected Snapdragon chipsets span a wide range of Qualcomm products, including but not limited to SD845, SD855, SD865 5G, SD870, and various QCA and WCN series chipsets. The vulnerability could potentially be exploited by an attacker who can supply crafted input to the camera subsystem, causing memory corruption that may lead to arbitrary code execution, denial of service, or system instability. However, no known exploits have been reported in the wild as of the published date (December 13, 2022). The vulnerability does not require user authentication but likely requires some level of access to the camera interface or related APIs. The broad range of affected chipsets indicates a widespread impact across many device categories, including smartphones, automotive systems, IoT devices, and wearables that utilize Qualcomm Snapdragon platforms. The lack of available patches at the time of reporting increases the urgency for affected vendors and integrators to apply mitigations or updates once available.

Potential Impact

For European organizations, the impact of CVE-2022-25712 can be significant due to the widespread use of Qualcomm Snapdragon chipsets in mobile devices, automotive infotainment systems, IoT devices, and wearables. Exploitation could lead to unauthorized code execution or denial of service, potentially compromising device confidentiality, integrity, and availability. In automotive contexts, this could affect vehicle safety systems or telematics, posing risks to operational safety and data privacy. For enterprises relying on mobile devices or IoT sensors with affected chipsets, exploitation could lead to data breaches or disruption of critical services. The vulnerability's presence in consumer and industrial IoT devices also raises concerns about supply chain security and operational continuity. Although no exploits are currently known, the potential for future weaponization exists, especially as attackers increasingly target embedded and mobile platforms. The impact is amplified in sectors with high reliance on connected devices, such as automotive manufacturing, telecommunications, healthcare, and critical infrastructure within Europe.

Mitigation Recommendations

1. Immediate mitigation involves monitoring vendor advisories for patches or firmware updates addressing this vulnerability and applying them promptly once available. 2. Device manufacturers and integrators should conduct thorough security testing of camera and multimedia subsystems to detect and remediate buffer management issues. 3. Employ runtime protections such as memory corruption mitigations (e.g., stack canaries, ASLR, DEP) within device firmware to reduce exploitation likelihood. 4. Limit access to camera interfaces and related APIs to trusted applications and services only, enforcing strict permission models and sandboxing. 5. For automotive and IoT deployments, implement network segmentation and strict access controls to minimize exposure of vulnerable devices to untrusted networks. 6. Monitor device behavior for anomalies indicative of exploitation attempts, such as crashes or unexpected reboots related to camera functions. 7. Collaborate with chipset vendors and software providers to receive timely security updates and vulnerability disclosures. 8. For organizations deploying devices at scale, consider inventorying affected devices and prioritizing patching or replacement based on criticality and exposure.

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Technical Details

Data Version
5.1
Assigner Short Name
qualcomm
Date Reserved
2022-02-22T00:00:00.000Z
Cisa Enriched
true

Threat ID: 682d9849c4522896dcbf6ff2

Added to database: 5/21/2025, 9:09:29 AM

Last enriched: 6/21/2025, 7:37:23 PM

Last updated: 8/18/2025, 3:29:34 PM

Views: 14

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