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Vulnerability Database/CVE-2024-35213

CVE-2024-35213: BlackBerry QNX SDP DoS Vulnerability

CVE-2024-35213 is an improper input validation flaw in BlackBerry QNX Software Development Platform that enables denial-of-service attacks or code execution. This article covers technical details, affected versions, and mitigations.

Published:

CVE-2024-35213 Overview

CVE-2024-35213 is an improper input validation vulnerability affecting the SGI Image Codec component of BlackBerry QNX Software Development Platform (SDP). The vulnerability exists in versions 6.6, 7.0, and 7.1 of the QNX SDP, which is widely deployed in embedded systems, automotive platforms, and critical infrastructure. When exploited, this vulnerability could allow an attacker to cause a denial-of-service condition or achieve arbitrary code execution within the context of the image processing process.

Critical Impact

This vulnerability enables remote attackers to potentially execute code or crash systems running QNX SDP by exploiting improper input validation in the SGI image parsing functionality, posing significant risk to embedded and safety-critical systems.

Affected Products

  • BlackBerry QNX Software Development Platform 6.6
  • BlackBerry QNX Software Development Platform 7.0
  • BlackBerry QNX Software Development Platform 7.1

Discovery Timeline

  • 2024-06-11 - CVE-2024-35213 published to NVD
  • 2025-12-01 - Last updated in NVD database

Technical Details for CVE-2024-35213

Vulnerability Analysis

This vulnerability stems from improper input validation (CWE-1287) in the SGI Image Codec of QNX SDP. The SGI (Silicon Graphics Image) file format codec fails to properly validate input data when processing SGI image files. This weakness allows an attacker to craft malicious SGI image files that, when processed by the vulnerable codec, can trigger memory corruption or other undefined behavior.

The network-based attack vector indicates that the vulnerability can be exploited remotely, potentially through applications that process SGI images from untrusted sources. The scope is changed, meaning successful exploitation can affect resources beyond the vulnerable component itself, potentially impacting the broader system. The exploitation requires no privileges or user interaction, though the attack complexity is high.

Root Cause

The root cause of CVE-2024-35213 is insufficient validation of input data within the SGI Image Codec. When parsing SGI image files, the codec does not adequately verify that header fields, dimension values, or pixel data conform to expected constraints. This lack of boundary checking and input sanitization allows attackers to provide malformed image data that corrupts memory or triggers unexpected code paths.

Attack Vector

An attacker can exploit this vulnerability by crafting a malicious SGI image file containing specially constructed header values or pixel data designed to trigger the input validation flaw. The attack can be delivered through various vectors including:

  • Email attachments containing malicious SGI images
  • Web applications that process user-uploaded images
  • Networked services that handle image data
  • Any application utilizing the QNX SDP SGI codec to process untrusted image files

When the vulnerable SGI Image Codec processes the malicious file, the improper input validation can lead to denial-of-service through application crash or, in more severe cases, allow the attacker to execute arbitrary code with the privileges of the image processing process.

Detection Methods for CVE-2024-35213

Indicators of Compromise

  • Unexpected crashes or termination of processes utilizing the SGI Image Codec
  • Anomalous SGI image files with malformed headers or unusual dimension values
  • Process behavior indicating potential code execution in the context of image processing
  • Memory corruption indicators in crash dumps from image processing applications

Detection Strategies

  • Monitor for unusual SGI file processing activity and unexpected process crashes
  • Implement file integrity monitoring for SGI image files entering the system
  • Deploy application-level logging to capture SGI codec processing events
  • Utilize memory protection mechanisms to detect exploitation attempts

Monitoring Recommendations

  • Enable verbose logging for applications that process SGI image files
  • Monitor system stability metrics for embedded systems running QNX SDP
  • Implement network traffic analysis to detect potential exploitation attempts
  • Review crash logs regularly for patterns indicating exploitation of this vulnerability

How to Mitigate CVE-2024-35213

Immediate Actions Required

  • Update QNX SDP to the latest patched version provided by BlackBerry
  • Restrict processing of SGI image files from untrusted sources
  • Implement input validation and file type verification before codec processing
  • Consider disabling SGI codec functionality if not required for operations

Patch Information

BlackBerry has released a security update addressing this vulnerability. Organizations using affected versions of QNX SDP should apply the latest patches immediately. Detailed patch information and download instructions are available in the BlackBerry Support Article.

Given the critical nature of systems typically running QNX (automotive, medical devices, industrial control systems), patching should be prioritized while following appropriate change management procedures for safety-critical environments.

Workarounds

  • Block or filter SGI image files at network boundaries and email gateways
  • Implement application sandboxing to limit the impact of potential exploitation
  • Restrict network access to systems running vulnerable QNX SDP versions
  • Use alternative image formats where SGI processing is not explicitly required
bash
# Example: Block SGI files at the application level (if supported)
# Configure input filtering to reject .sgi and .rgb file extensions
# Implement strict file type validation before codec processing
# Consult BlackBerry documentation for specific configuration guidance

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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