J'ai testé l'IA sur la faille PHP2Shell : Les conséquences sont terrifiantes !

Item: J'ai testé l'IA sur la faille PHP2Shell : Les conséquences sont terrifiantes !
Rating: 3
Author: PostSingularity Institute

I tested AI on the PHP2Shell vulnerability: The consequences are terrifying!

by Parlons IA · View the channel on PSI

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence

🎙 Parlons IA 👥 18K 📅 October 23, 2026 ⏱ 15 min 👁 69 📄 original study 🧭 2026-10-23

Available in: English (current) Français

Keywords

PHP2Shellmemory corruptionuse-after-freeCodexAI security

Summary

In this video, the creator tests OpenAI’s Codex AI agent on the PHP2Shell vulnerability, a critical flaw affecting PHP-based websites. The video begins with an explanation of the vulnerability’s impact, claiming that 80% of sites are at risk and that the NSA recommended shutting down systems. The creator then walks through an attempt to use Codex to understand and reproduce the vulnerability. He explains the technical background of memory management in PHP, including the use-after-free and the concept of memory allocation failures. He describes setting up a local test environment with AddressSanitizer (ASan) and using Codex to compare PHP versions. However, the AI initially identifies a known issue rather than the target flaw. He then tries a strategy of running multiple agents in parallel (swarms) but spends credits without success. The creator emphasizes that while AI lowers the technical barrier, it does not replace expertise; without a clear direction, AI can mislead or waste time. He eventually understands the need to guide the AI to focus on specific memory management steps, leading to a successful detection of invalid memory access. The video concludes by discussing the broader implications of AI in scaling attacks and the urgency of patching vulnerabilities, noting that services like Revolut had to shut down. The creator also promotes his own AI training course.

217 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a practical demonstration of AI-assisted vulnerability research, showing both the potential and limitations of current AI coding agents. The argumentation is built around the creator’s personal experience, which adds authenticity but also limits generalizability. The claim that AI can accelerate attack scaling is well-illustrated with the example of mass simultaneous requests. However, the argumentation suffers from a lack of concrete evidence for the vulnerability’s global impact; statements like ‘80% of sites’ are unsourced and likely exaggerated. The creator acknowledges his non-expert background, which may affect the depth of technical analysis.

Scientific Rigor, Source Quality, Title Accuracy

No scientific sources are cited in the video or description; the only link is a paid training course. The video relies on anecdotal evidence and personal testing, which reduces its scientific rigor. The title is somewhat clickbaity but matches the content. The video’s technical explanations are informative but not always precise, and the creator doesn’t reference official advisories or documentation, making it difficult to verify the claims independently.

176 words

Title / Content Match

The title accurately reflects the content: the creator tests Codex on the PHP vulnerability and discusses consequences, though the tone is sensationalist. Slight mismatch as the 'terrifying' aspect is more about general risks than a concrete exploit demonstrated.

Quality & Reliability

5/10

The video presents a personal test of Codex on the PHP2Shell vulnerability, mixing technical explanations with speculative claims. The methodology is informal and the claims about the vulnerability's impact are likely exaggerated, but the core demonstration of AI limitations is plausible.

Chapters

Cited Sources

Formation IA & Business (Parlons IA) — Promotional link in the video description, not a technical source but included as per description.

Contribution & Novelties

The video’s originality lies in documenting a hands-on experiment using Codex to explore a real-world vulnerability, highlighting both the assistance and pitfalls of AI in cybersecurity analysis. It shows that while AI can automate tasks, it requires expert guidance to avoid dead ends and false positives. The ‘Pour aller plus loin’ section offers further study on relevant technical concepts.

Pour aller plus loin :

Use-after-free — The memory flaw classification discussed as central to PHP2Shell.
AddressSanitizer — The tool used to detect memory errors in the test.
Address space layout randomization (ASLR) — The mitigation technique mentioned as a challenge for exploitation.
PHP — The programming language affected, providing background on its architecture.

113 words

Radar Profile

The scores indicate a moderate to low reliability profile, with technical level being the highest aspect (7/10). The video provides a fair amount of information (6/10) but with lower quality (5/10) and overall reliability (4/10), reflecting the lack of verifiable sources and sensationalized claims.

Reliability 4/10