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CVE-2026-65650 is a denial-of-service vulnerability in Elgg before version 7.0.0. The flaw arises because the application does not validate image dimensions during avatar upload processing. An attacker can submit an avatar image with excessively large dimensions, causing disproportionate resource consumption during server-side handling of the image. The issue affects avatar upload functionality and can be triggered through crafted image input that bypasses reasonable dimensional constraints.
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1 valid exploit after Mallory filtered fakes, detection scripts, and README-only repos.
This repository is a minimal proof-of-concept for CVE-2026-65650, an authenticated denial-of-service issue in Elgg avatar uploads. The repository contains two files: a Python script and a README. The Python script, CVE-2026-65650.py, is the main exploit artifact and uses Pillow to generate a real 10000x10000 RGB PNG with actual pixel data, not just manipulated headers. Its purpose is to create a relatively small on-disk image that still forces substantial memory allocation when decoded and resized by PHP's GD library. The script writes the payload to CVE-2026-65650.png and prints estimated memory requirements for decode and resize operations. The exploit does not directly send network requests or automate upload; instead, it prepares a malicious file for manual upload through Elgg's avatar feature. According to the README, exploitation requires any authenticated user account and affects Elgg versions earlier than 6.3.5 in the 6.x line and release candidates from 7.0.0-rc.1 up to but excluding 7.0.0. The vulnerable path is described as actions/avatar/upload.php, where uploaded avatar images are passed into saveIconFromUploadedFile() without dimension, size, ratio, or memory guards. The intended effect is server-side memory exhaustion in GD during image processing, potentially leading to PHP-FPM worker crashes or broader service disruption. Overall, this is a real exploit PoC rather than a detector or framework module. It is low-complexity and focused solely on generating the malicious image payload needed to trigger the DoS condition.
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