Imgix Image Processing Vulnerability: Denial of Service via Malicious JPEG Metadata
Introduction
In today's image-driven web applications, CDNs like Imgix play a crucial role in optimizing and delivering images in real-time. However, a lesser-known vulnerability in Imgix’s image processing logic can be exploited using specially crafted JPEG metadata. This blog post explains how a tiny image file can be weaponized to cause a large-scale Denial of Service (DoS), discusses its implications, and shares preventive measures for developers and security teams. If you're working in web development, bug bounty, or application security, this case study is a must-read.
Description
A critical vulnerability in Imgix (identified before 2019-06-19) allows remote attackers to cause a Denial of Service (DoS) by uploading a specially crafted JPEG image. The exploit manipulates the image metadata to declare extremely large dimensions (64250×64250 pixels). When Imgix attempts to process the image, it tries to load it fully into memory, resulting in resource exhaustion and server failure.
This vulnerability was discovered during a private bug bounty program where Imgix was being used as the image CDN. The server crashed while attempting to process the malicious image, leading to a 500 Internal Server Error
and extremely high latency.
Vulnerability Details
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Vulnerability Type: Resource Exhaustion / Improper Input Validation
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Impact: Denial of Service (DoS)
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Attack Vector: Remote (via image upload)
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Vendor: Imgix
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Affected Component: Image processing backend and CDN
Exploit Summary
To exploit the issue:
-
A normal JPEG image (
5 KB
, originally260x260
pixels) is modified to declare its internal dimensions as0xFAFA x 0xFAFA
(or64250x64250
). -
Once uploaded, the Imgix CDN attempts to load and process the image in memory.
-
This results in an attempted allocation of
64250 x 64250 = 4,128,062,500
pixels into memory. -
The system cannot handle the request, leading to memory exhaustion and denial of service.
-
The server responds with:
-
500 Internal Server Error
-
55,000+ ms latency
-
Reproduction Steps
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Modify any small JPEG image to declare dimensions
64250x64250
in the metadata. -
Upload the modified image to any application using Imgix as the CDN or image processor.
-
Observe the server's delayed response and failure due to memory overload.
Sample Malicious Image
You can test using this sample image: lottapixel.jpg – GitHub (FuzzDB)
Recommendations
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Validate Metadata: Ensure image dimensions are checked before processing.
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Set Hard Limits: Impose maximum width and height constraints on uploaded images.
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Monitor Memory Usage: Track resource usage for image processing pipelines and enforce timeouts or caps.
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Rate Limiting: Apply throttling for repeated or large-scale uploads.
Conclusion
This vulnerability highlights the risks of trusting user-uploaded metadata in files. By manipulating simple attributes like image dimensions, an attacker can bring down powerful services like Imgix. Proper input validation and resource handling are essential to prevent such denial-of-service attacks in production environments.
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