CVE-2018-5874 in Snapdragon Automobileinfo

Summary

by MITRE

While parsing an mp4 file, a stack-based buffer overflow can occur in Snapdragon Automobile, Snapdragon Mobile and Snapdragon Wear.

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

Analysis

by VulDB Data Team • 05/03/2020

The vulnerability identified as CVE-2018-5874 represents a critical stack-based buffer overflow flaw that manifests during the parsing of mp4 media files within specific Qualcomm Snapdragon processor architectures. This vulnerability affects multiple Snapdragon product lines including automotive, mobile, and wearable devices, indicating a widespread impact across various computing platforms that rely on Qualcomm's processing solutions. The flaw occurs at the media parsing layer where insufficient input validation allows maliciously crafted mp4 files to trigger memory corruption through stack overflow conditions. Such vulnerabilities are particularly dangerous in mobile and automotive environments where users frequently encounter multimedia content from untrusted sources, creating numerous potential attack vectors for exploitation.

The technical implementation of this vulnerability stems from improper bounds checking during mp4 file parsing operations within the Snapdragon processor's multimedia handling subsystem. When processing mp4 containers, the vulnerable code fails to adequately validate the size and structure of incoming data elements, allowing an attacker to craft specially formatted mp4 files that exceed allocated buffer boundaries. This overflow typically occurs when parsing metadata or media stream information where the code assumes fixed buffer sizes without proper verification of actual data length. The stack-based nature of the overflow means that the corrupted memory affects the program's execution stack, potentially allowing attackers to overwrite return addresses and function pointers, leading to arbitrary code execution capabilities. This type of vulnerability maps directly to CWE-121 Stack-based Buffer Overflow, which specifically addresses buffer overflows occurring in stack memory regions.

The operational impact of CVE-2018-5874 extends beyond simple denial-of-service conditions to encompass full system compromise capabilities, particularly in automotive environments where Snapdragon processors power infotainment systems and vehicle control modules. Mobile devices running affected Snapdragon chipsets become vulnerable to remote exploitation when processing malicious media files through various applications including web browsers, media players, and messaging apps that handle mp4 content. The vulnerability's exploitation potential aligns with ATT&CK technique T1203, which covers legitimate program execution through exploitation of system vulnerabilities, and T1059, covering command and scripting interpreter usage for payload delivery. Automotive applications face additional risks as compromised infotainment systems could potentially affect vehicle safety systems, creating cascading security implications that extend beyond traditional cybersecurity concerns into physical safety domains.

Mitigation strategies for this vulnerability require immediate patch deployment from device manufacturers and software vendors, as Qualcomm has released security updates addressing the specific buffer overflow conditions in their Snapdragon processor implementations. System administrators should implement strict media file validation policies, particularly for mp4 content, and consider network-level filtering of suspicious media files to prevent exploitation attempts. The recommended approach includes enabling automatic security updates for mobile devices and automotive infotainment systems, along with implementing sandboxing mechanisms for media processing applications to contain potential exploitation attempts. Organizations should also conduct thorough vulnerability assessments of their Snapdragon-based systems, particularly in automotive environments, to identify and remediate affected devices before they can be targeted by threat actors. Additionally, monitoring network traffic for suspicious mp4 file transfers and implementing application whitelisting policies can provide additional defensive layers against exploitation attempts targeting this specific vulnerability.

Reservation

01/19/2018

Disclosure

07/06/2018

Moderation

accepted

CPE

ready

EPSS

0.00480

KEV

no

Activities

very low

Sources

Might our Artificial Intelligence support you?

Check our Alexa App!