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AI discovers critical 14-year-old PHP vulnerabilities, sparking urgent patch race

By PulseAugur Editorial · [1 sources] ·

AI-assisted security researchers discovered two critical vulnerabilities, dubbed PHP2Shell, in the PHP programming language that could allow attackers to execute code on web servers. These flaws, rated 9.2 on the CVSS v4.0 scale, had existed for 14 years before being found by models like OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon. The discovery highlights a shift in cybersecurity, where AI tools are aiding in proactive vulnerability hunting, providing a crucial window for developers to patch systems before malicious actors can exploit them. AI

IMPACT Accelerates proactive vulnerability discovery, enabling faster patching of critical infrastructure.

RANK_REASON AI-assisted discovery of a long-standing vulnerability in a widely used programming language. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI discovers critical 14-year-old PHP vulnerabilities, sparking urgent patch race

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0 / 100
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Tool
AI-assisted discovery of a long-standing vulnerability in a widely used programming language. [lever_c_demoted from research: ic=1 ai=1.0]
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, safety
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
19 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Mehedi Hasan ·

    PHP2Shell: How AI Found a 14-Year-Old Bug in PHP, and Why the Patch Race Is On

    <h4>Two critical flaws in the engine behind a huge share of the web, an early leak, and a preview of how AI changes security work for both defenders and attackers.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*lOi-8iLoW2gnp23qRU4IxA.png" /></figure><p><s…

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