CVE-2022-25687: Buffer Copy Without Checking Size of Input in Video in Qualcomm, Inc. Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
memory corruption in video due to buffer overflow while parsing asf clips in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
AI Analysis
Technical Summary
CVE-2022-25687 is a high-severity vulnerability identified in multiple Qualcomm Snapdragon platforms, including Snapdragon Auto, Compute, Connectivity, Consumer IoT, Industrial IoT, Mobile, Voice & Music, and Wearables. The root cause is a buffer overflow due to improper handling of buffer sizes when parsing ASF (Advanced Systems Format) video clips. Specifically, the vulnerability arises from a 'buffer copy without checking size of input' condition, classified under CWE-120 (Classic Buffer Overflow). This memory corruption flaw can be triggered remotely without requiring any privileges or user interaction, as indicated by the CVSS vector (AV:N/AC:L/PR:N/UI:N). Exploiting this vulnerability could allow an attacker to execute arbitrary code, cause denial of service, or corrupt memory, impacting confidentiality, integrity, and availability of affected devices. The vulnerability affects a broad range of Qualcomm chipsets and modules, spanning many Snapdragon SoCs and wireless connectivity components, which are widely used in smartphones, automotive systems, IoT devices, and wearables. Although no known exploits have been reported in the wild, the ease of exploitation and the extensive deployment of affected hardware make this a significant security concern. The vulnerability was publicly disclosed on October 19, 2022, and no official patches or mitigations were linked in the provided data, indicating that affected organizations must proactively seek firmware or software updates from device manufacturers or Qualcomm. The flaw's presence in automotive and industrial IoT platforms raises additional safety and operational risks beyond typical consumer device impacts.
Potential Impact
For European organizations, the impact of CVE-2022-25687 is multifaceted. Many enterprises and consumers in Europe rely on devices powered by Qualcomm Snapdragon chipsets, including smartphones, connected vehicles, industrial IoT sensors, and wearable health devices. Exploitation could lead to unauthorized code execution, potentially allowing attackers to gain control over critical systems or exfiltrate sensitive data. In automotive contexts, compromised Snapdragon Auto platforms could affect vehicle infotainment or telematics systems, posing safety risks or enabling further lateral attacks on vehicle networks. Industrial IoT devices running affected chipsets might be disrupted or manipulated, impacting manufacturing, energy, or logistics operations. The vulnerability's ability to be triggered remotely without user interaction increases the risk of widespread automated attacks, especially in environments with exposed network interfaces or insufficient segmentation. Confidentiality breaches could expose personal or corporate data, while integrity and availability impacts could disrupt business continuity and safety-critical functions. Given Europe's strong regulatory environment around data protection (e.g., GDPR) and critical infrastructure security, exploitation could also lead to compliance violations and reputational damage.
Mitigation Recommendations
Mitigation requires a coordinated approach: 1) Immediate identification of devices and systems using affected Qualcomm Snapdragon chipsets across all organizational assets, including mobile devices, automotive systems, IoT endpoints, and wearables. 2) Prompt application of firmware and software updates from device manufacturers or Qualcomm once available; organizations should maintain close communication with vendors for patch release schedules. 3) Where patches are not yet available, implement network-level protections such as blocking or filtering ASF video streams from untrusted sources to reduce exposure. 4) Employ strict network segmentation and access controls to isolate vulnerable devices, especially in industrial and automotive environments. 5) Monitor network traffic and device behavior for anomalies indicative of exploitation attempts, including unexpected crashes or memory corruption symptoms. 6) Incorporate this vulnerability into vulnerability management and incident response plans, ensuring readiness to respond to potential exploitation. 7) For organizations deploying custom or embedded systems with Qualcomm chipsets, conduct code audits and testing to identify and remediate similar buffer overflow issues proactively. 8) Educate relevant personnel about the risks and signs of exploitation to enhance detection and response capabilities.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Sweden, Belgium, Poland, Finland
CVE-2022-25687: Buffer Copy Without Checking Size of Input in Video in Qualcomm, Inc. Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
Description
memory corruption in video due to buffer overflow while parsing asf clips in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
AI-Powered Analysis
Technical Analysis
CVE-2022-25687 is a high-severity vulnerability identified in multiple Qualcomm Snapdragon platforms, including Snapdragon Auto, Compute, Connectivity, Consumer IoT, Industrial IoT, Mobile, Voice & Music, and Wearables. The root cause is a buffer overflow due to improper handling of buffer sizes when parsing ASF (Advanced Systems Format) video clips. Specifically, the vulnerability arises from a 'buffer copy without checking size of input' condition, classified under CWE-120 (Classic Buffer Overflow). This memory corruption flaw can be triggered remotely without requiring any privileges or user interaction, as indicated by the CVSS vector (AV:N/AC:L/PR:N/UI:N). Exploiting this vulnerability could allow an attacker to execute arbitrary code, cause denial of service, or corrupt memory, impacting confidentiality, integrity, and availability of affected devices. The vulnerability affects a broad range of Qualcomm chipsets and modules, spanning many Snapdragon SoCs and wireless connectivity components, which are widely used in smartphones, automotive systems, IoT devices, and wearables. Although no known exploits have been reported in the wild, the ease of exploitation and the extensive deployment of affected hardware make this a significant security concern. The vulnerability was publicly disclosed on October 19, 2022, and no official patches or mitigations were linked in the provided data, indicating that affected organizations must proactively seek firmware or software updates from device manufacturers or Qualcomm. The flaw's presence in automotive and industrial IoT platforms raises additional safety and operational risks beyond typical consumer device impacts.
Potential Impact
For European organizations, the impact of CVE-2022-25687 is multifaceted. Many enterprises and consumers in Europe rely on devices powered by Qualcomm Snapdragon chipsets, including smartphones, connected vehicles, industrial IoT sensors, and wearable health devices. Exploitation could lead to unauthorized code execution, potentially allowing attackers to gain control over critical systems or exfiltrate sensitive data. In automotive contexts, compromised Snapdragon Auto platforms could affect vehicle infotainment or telematics systems, posing safety risks or enabling further lateral attacks on vehicle networks. Industrial IoT devices running affected chipsets might be disrupted or manipulated, impacting manufacturing, energy, or logistics operations. The vulnerability's ability to be triggered remotely without user interaction increases the risk of widespread automated attacks, especially in environments with exposed network interfaces or insufficient segmentation. Confidentiality breaches could expose personal or corporate data, while integrity and availability impacts could disrupt business continuity and safety-critical functions. Given Europe's strong regulatory environment around data protection (e.g., GDPR) and critical infrastructure security, exploitation could also lead to compliance violations and reputational damage.
Mitigation Recommendations
Mitigation requires a coordinated approach: 1) Immediate identification of devices and systems using affected Qualcomm Snapdragon chipsets across all organizational assets, including mobile devices, automotive systems, IoT endpoints, and wearables. 2) Prompt application of firmware and software updates from device manufacturers or Qualcomm once available; organizations should maintain close communication with vendors for patch release schedules. 3) Where patches are not yet available, implement network-level protections such as blocking or filtering ASF video streams from untrusted sources to reduce exposure. 4) Employ strict network segmentation and access controls to isolate vulnerable devices, especially in industrial and automotive environments. 5) Monitor network traffic and device behavior for anomalies indicative of exploitation attempts, including unexpected crashes or memory corruption symptoms. 6) Incorporate this vulnerability into vulnerability management and incident response plans, ensuring readiness to respond to potential exploitation. 7) For organizations deploying custom or embedded systems with Qualcomm chipsets, conduct code audits and testing to identify and remediate similar buffer overflow issues proactively. 8) Educate relevant personnel about the risks and signs of exploitation to enhance detection and response capabilities.
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- qualcomm
- Date Reserved
- 2022-02-22T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d9817c4522896dcbd7954
Added to database: 5/21/2025, 9:08:39 AM
Last enriched: 7/5/2025, 2:24:48 AM
Last updated: 8/17/2025, 12:14:33 PM
Views: 15
Related Threats
CVE-2025-53705: CWE-787 Out-of-bounds Write in Ashlar-Vellum Cobalt
HighCVE-2025-41392: CWE-125 Out-of-bounds Read in Ashlar-Vellum Cobalt
HighCVE-2025-9119: Cross Site Scripting in Netis WF2419
MediumCVE-2025-8098: CWE-276: Incorrect Default Permissions in Lenovo PC Manager
HighCVE-2025-53192: CWE-146 Improper Neutralization of Expression/Command Delimiters in Apache Software Foundation Apache Commons OGNL
HighActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.