# The race to the first exploit // php2shell

**URL:** <https://www.artofsm.art/t/the-race-to-the-first-exploit-php2shell/26584>\
**Category:** Content Creators\
**Tags:** liveoverflow, hacking, security\
**Created:** [22 October 2026 00:44 UTC](https://www.artofsm.art/t/the-race-to-the-first-exploit-php2shell/26584 "2026-10-22T00:44:29Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\
**Post date:** [22 October 2026 00:44 UTC](https://www.artofsm.art/t/the-race-to-the-first-exploit-php2shell/26584/1 "2026-10-22T00:44:29Z")

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[![](https://www.artofsm.art/uploads/default/original/3X/9/9/99bfc9a942168727cdc365cecb5a67eaf1cf2bb9.jpeg "The race to the first exploit // php2shell") ](https://www.youtube.com/watch?v=7CiZmq2llDg)

The video explores the discovery and exploitation of a critical Use-After-Free vulnerability in PHP, detailing the presenter’s investigative process using AI tools and source code analysis to develop a working exploit despite initial challenges. It emphasizes the urgency of patching affected PHP versions and highlights the evolving role of AI in accelerating vulnerability research while underscoring the need for human expertise in cybersecurity.

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<div class="post-metadata">

**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\
**Post date:** [22 October 2026 01:04 UTC](https://www.artofsm.art/t/the-race-to-the-first-exploit-php2shell/26584/3 "2026-10-22T01:04:48Z")

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The video discusses the critical remote code execution vulnerability recently discovered in PHP, highlighting its severity and the urgency for immediate patching. The presenter shares their personal experience in attempting to find and exploit the vulnerability using publicly available information and AI tools. They emphasize that despite widespread attention and numerous attempts, many initial exploit ideas were incorrect or incomplete, often due to AI-generated misinformation or misunderstandings about the nature of the vulnerability, which is a Use-After-Free (UAF) issue.

The presenter details their investigative approach, starting with analyzing a leaked video that provided clues about the vulnerability affecting PHP versions 5.4 and later. By focusing on low-level C code related to PHP’s SAPI (Server API) and Apache mod\_php integration, they narrowed down the search space. Despite initial frustrations with AI tool restrictions and guardrails, they successfully set up a test environment mirroring the vulnerable PHP version and began probing for memory corruption issues, eventually identifying a Use-After-Free condition linked to session handling and cookie parsing.

Using AI assistance, the presenter tasked the model to comb through PHP 5.4 source code for network-reachable code related to mod\_php and SAPI, especially around file uploads. After extensive testing and validation, the AI found a promising UAF vulnerability involving stale session IDs and cookie re-parsing, matching hints from the original video. However, the initial exploit was incomplete, relying on reading memory directly from the container to bypass ASLR (Address Space Layout Randomization), indicating the need for an address leak to make the exploit fully reliable.

Further collaboration and information sharing led to discovering a more effective exploit variant that included an address leak through error response strings, although it required specific PHP error settings. The presenter reflects on the evolving landscape of vulnerability research, noting that AI tools can accelerate exploit development but still require human expertise and understanding of the target system. They caution that the complexity of exploits no longer guarantees protection, as AI can quickly adapt and generate working exploits once enough public information is available.

In conclusion, the video underscores the seriousness of the PHP vulnerability and the importance of timely patching for all PHP-based sites. It also highlights the synergy between skilled researchers and AI in modern vulnerability discovery and exploitation, advocating for continuous learning and adaptation in cybersecurity. The presenter encourages viewers to read the original detailed writeup and explore educational resources to better understand and defend against such threats in the AI-driven era.