AI辅助挖掘PHP2Shell高危漏洞引发安全攻防应对
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近期披露的 PHP2Shell 远程代码执行漏洞引发安全界关注。该漏洞由研究人员在 AI 辅助下，将原本普通的内存溢出崩溃转化为高危利用链。安全专家指出，AI 工具的推理能力大幅降低了挖掘历史遗留软件深层漏洞的门槛，暴露了找漏洞与修补漏洞之间严重的不对称性，正在迫使人类偿还积攒数十年的技术债务。为此，防御方正尝试引入由 OpenAI 等机构资助的模型算力，以及 Anthropic 推出的形式化验证修补工具，以抗衡相关的安全风险。
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The reasoning capabilities of AI tools are drastically lowering the barrier to uncovering deep-seated vulnerabilities in legacy software. The recently disclosed PHP2Shell remote code execution vulnerability, for instance, saw researchers leverage AI assistance to escalate an ordinary out-of-bounds memory crash into a high-severity exploit chain. Security experts note a severe asymmetry between finding flaws and patching them; defenders are now deploying compute-backed models funded by organizations like OpenAI and formal-verification patching tools from Anthropic to counter escalating security risks.
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