Skip to content

Latest commit

 

History

History
52 lines (45 loc) · 6.07 KB

threat-modeling.md

File metadata and controls

52 lines (45 loc) · 6.07 KB

Threat Model Analysis for bumptech/glide

Threat: Malicious Image Loading

  • Description: An attacker provides a malicious image URL to the application. Glide loads this URL and attempts to decode the image. The malicious image is crafted to exploit vulnerabilities in image decoding libraries used by the system or indirectly by Glide. This can be achieved by compromising a website serving images or by injecting a malicious URL into the application's data flow.
  • Impact:
    • Denial of Service (DoS): Application crashes or becomes unresponsive due to resource exhaustion or decoder errors triggered by the malicious image.
    • Remote Code Execution (RCE): Attacker gains control of the application or device by injecting and executing arbitrary code through a decoder vulnerability exploited by the malicious image loaded by Glide.
    • Information Disclosure: Sensitive data is leaked due to vulnerabilities triggered during image decoding by Glide.
  • Affected Glide Component:
    • Image Loading Module
    • Image Decoding Pipeline (indirectly, via system libraries used by Glide)
  • Risk Severity: Critical
  • Mitigation Strategies:
    • URL Validation: Implement strict whitelisting of allowed image domains or URL patterns. Sanitize any user-provided URLs before using them with Glide.
    • Content-Type Checking: Verify the Content-Type header of downloaded images to ensure they match expected image types and reject unexpected content.
    • Input Sanitization: Sanitize any user input used to construct image URLs to prevent injection of malicious URLs.
    • Keep System Updated: Ensure the device operating system and system libraries are up-to-date with the latest security patches, as Glide relies on these for image decoding.
    • Library Updates: Keep the Glide library updated to benefit from any security fixes and improvements in image handling within Glide itself.

Threat: Cache Poisoning

  • Description: An attacker intercepts network traffic (e.g., through a Man-in-the-Middle attack) while Glide is downloading an image. The attacker replaces the legitimate image data with malicious image data before it is stored in Glide's disk cache. Subsequently, when the application requests the same image URL, Glide serves the malicious cached image from its disk cache.
  • Impact:
    • Serving Malicious Content: Application displays malicious images instead of legitimate ones, potentially leading to phishing attacks, misinformation campaigns, or exploitation of other application vulnerabilities by displaying harmful content.
    • Data Integrity Compromise: The integrity of cached data is compromised, potentially leading to unpredictable application behavior or further exploitation.
  • Affected Glide Component:
    • Disk Cache Module
    • Network Loading Module
  • Risk Severity: High
  • Mitigation Strategies:
    • HTTPS Only: Enforce HTTPS for all image URLs loaded by Glide to prevent Man-in-the-Middle attacks and ensure data integrity during network transit.
    • Secure Network Connections: Educate users about the risks of using untrusted or public Wi-Fi networks and encourage the use of secure network connections.
    • Cache Integrity Checks (Advanced): For highly sensitive applications, consider implementing mechanisms to verify the integrity of cached images, such as cryptographic hashing, although this can be complex to implement effectively with Glide's caching mechanisms.
    • Secure Cache Storage: Ensure the Glide cache is stored in a secure location within the application's private storage area, protected by the operating system's file permissions.

Threat: Exploiting Image Decoder Vulnerabilities (Indirect Code Execution via Glide)

  • Description: While Glide itself is not directly vulnerable in terms of code execution flaws, it relies on underlying system image decoding libraries (like libjpeg, libpng, WebP decoders) to process image data. Malicious images loaded by Glide can be specifically crafted to trigger vulnerabilities within these system-level image decoders. Successful exploitation can lead to code execution within the application's context.
  • Impact:
    • Remote Code Execution (RCE): An attacker can achieve remote code execution within the application's process by exploiting vulnerabilities in system image decoders through malicious images loaded by Glide. This allows the attacker to potentially gain full control of the application and the user's device.
    • Denial of Service (DoS): Exploiting decoder vulnerabilities can also lead to application crashes or freezes, resulting in a denial of service.
    • Information Disclosure: Some decoder vulnerabilities might allow attackers to leak sensitive information from the application's memory or device.
  • Affected Glide Component:
    • Image Decoding Pipeline (indirectly, via system libraries that Glide utilizes)
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Keep System Updated: The most crucial mitigation is ensuring users keep their devices and operating systems updated. System updates often include critical security patches for image decoding libraries.
    • Library Updates: Keep the Glide library updated. While Glide doesn't directly fix system decoder vulnerabilities, updates might include changes to how Glide handles images or interacts with decoders to mitigate certain types of exploits or to incorporate workarounds.
    • Content-Type Validation: As a defense-in-depth measure, validate the Content-Type of downloaded images to reduce the risk of processing unexpected or potentially malicious file types that might trigger decoder vulnerabilities.
    • Isolate Image Processing (Advanced): For applications with extremely high security requirements and when dealing with untrusted image sources, consider advanced techniques like isolating image processing in a sandboxed environment to limit the impact of potential decoder exploits.