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class=\"single-article__header-content\" readability=\"34.359493670886\">\n<p> OpenAI and Microsoft have said that GPT-5 is one of their safest and secure models out of the box yet. An AI red-teamer called its performance \u201cterrible.\u201d <\/p>\n<p>  <br \/>\n<audio id=\"audio-player\" src=\"https:\/\/wp-tts-cdn.api.scpnewsgrp.com\/cyberscoop\/85552\/english.openai.mp3\"><\/audio> <\/p>\n<div readability=\"11\">\n<div>\n<p>Listen to this article<\/p>\n<p>  <\/p>\n<p>0:00<\/p>\n<\/p><\/div>\n<p>  <\/p>\n<p> <span id=\"tts-tooltip\">Learn more.<\/span> <span> This feature uses an automated voice, which may result in occasional errors in pronunciation, tone, or sentiment. <\/span> <\/p>\n<\/div>\n<p>  <\/div>\n<div class=\"single-article__cover-wrap\">\n<figure class=\"single-article__cover\"> <img data-recalc-dims=\"1\" fetchpriority=\"high\" width=\"640\" height=\"427\" src=\"https:\/\/i0.wp.com\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security.jpg?resize=640%2C427&ssl=1\" class=\"single-article__cover-image wp-post-image\" alt decoding=\"async\" fetchpriority=\"high\" srcset=\"https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg 6754w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=300,200 300w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=768,512 768w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=1024,683 1024w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=1536,1024 1536w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=2048,1365 2048w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=600,400 600w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=252,168 252w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=505,337 505w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=1012,675 1012w, https:\/\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-2.jpg?resize=1264,843 1264w\" sizes=\"(max-width: 1012px) 100vw, 1012px\"><figcaption> In this photo illustration, a person holds a smartphone showing the Introducing GPT-5 interface in the ChatGPT app, with text describing the model’s capabilities, in front of a blurred OpenAI logo on August 9, 2025 in Chongqing, China. (Photo illustration by Cheng Xin\/Getty Images) <\/figcaption><\/figure>\n<\/p><\/div>\n<\/header>\n<div class=\"single-article__content\">\n<div class=\"single-article__content-inner has-drop-cap\"> <html readability=\"68.045373000449\"><body readability=\"136.89804878049\"><\/p>\n<p>On Aug. 7, OpenAI released GPT-5, its newest frontier large language model, to the public. Shortly after, all hell broke loose.<\/p>\n<p>Billed as faster, smarter and more capable tools for enterprise organizations than previous models, GPT-5 has instead <a href=\"https:\/\/www.reddit.com\/r\/OpenAI\/comments\/1mkxy9u\/gpt5_is_awful\/\">met<\/a> an angry <a href=\"https:\/\/www.reddit.com\/r\/ChatGPT\/comments\/1mn8t5e\/gpt5_is_a_mess\/\">user base<\/a> that has found its performance and reasoning skills wanting.<\/p>\n<p>And in the five days since its release, security researchers have also noticed something about GPT-5: it completely fails on core security and safety metrics.<\/p>\n<p>Since going public, OpenAI\u2019s newest tool for businesses and organizations has been subjected to extensive tinkering by outside security researchers, many of whom identified vulnerabilities and weaknesses in GPT-5 that were already discovered and patched in older models.<\/p>\n<div class=\"ad ad--inline_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<p>AI red-teaming company SPLX subjected it to over <a href=\"https:\/\/splx.ai\/blog\/gpt-5-red-teaming-results\">1,000 different attack scenarios<\/a>, including prompt injection, data and context poisoning, jailbreaking and data exfiltration, finding the default version of GPT-5 \u201cnearly unusable for enterprises\u201d out of the box.<\/p>\n<p>It scored just a 2.4% on an assessment for security, 13.6% for safety and 1.7% for \u201cbusiness alignment,\u201d which SPLX describes as the model\u2019s propensity for refusing tasks that are outside of its domain, leaking data or unwittingly promoting competing products.<\/p>\n<figure class=\"wp-block-image\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security.png?w=640&ssl=1\" alt><figcaption class=\"wp-element-caption\">Default versions of GPT-5 perform poorly on security, safety and business alignment, though they improve significantly with prompting. (Source: SPLX)<\/figcaption><\/figure>\n<p>Ante Gojsalic, chief technology officer and co-founder of SPLX, told CyberScoop that his team was initially surprised at the level of poor security and lack of safety guardrails inherent in OpenAI\u2019s newest model. Microsoft <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/gpt-5-in-azure-ai-foundry-the-future-of-ai-apps-and-agents-starts-here\/\">claimed<\/a> that internal red-team testing on GPT-5 was done with \u201crigorous security protocols\u201d and concluded it \u201cexhibited one of the strongest AI safety profiles among prior OpenAI models against several modes of attack, including malware generation, fraud\/scam automation and other harms.\u201d<\/p>\n<p>\u201cOur expectation was GPT-5 will be better like they presented on all the benchmarks,\u201d Gojsalic said. \u201cAnd this was the key surprising moment, when we [did] our scan, we saw \u2026 it\u2019s terrible. It\u2019s far behind for all models, like on par with some open-source models and worse.\u201d<\/p>\n<div class=\"ad ad--inline_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<p>In an Aug. 7 <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/gpt-5-in-azure-ai-foundry-the-future-of-ai-apps-and-agents-starts-here\/\">blog<\/a> post published by Microsoft, Sarah Bird, chief product officer of responsible AI at the company, is quoted saying that the \u201cMicrosoft AI\/Red Team found GPT-5 to have one of the strongest safety profiles of any OpenAI model.\u201d<\/p>\n<p>OpenAI\u2019s <a href=\"https:\/\/cdn.openai.com\/pdf\/8124a3ce-ab78-4f06-96eb-49ea29ffb52f\/gpt5-system-card-aug7.pdf\">system card<\/a> for GPT-5 provides further details on how GPT-5 was tested for safety and security, saying the model underwent weeks of testing from the company\u2019s internal red team and external third parties. These assessments focused on the pre-deployment phase, safeguards around the actual use of the model and vulnerabilities in connected APIs.<\/p>\n<p>\u201cAcross all our red teaming campaigns, this work comprised more than 9,000 hours of work from over 400 external testers and experts. Our red team campaigns prioritized topics including violent attack planning, jailbreaks which reliably evade our safeguards, prompt injections, and bioweaponization,\u201d the system card states.<\/p>\n<p>Gojsalic explained the disparity in Microsoft and OpenAI\u2019s claims and his company\u2019s findings by pointing to other priorities those companies have when pushing out new frontier models.<\/p>\n<p>All new commercial models are racing toward competency in a prescribed set of metrics that measure the kind of capabilities \u2014 such as code generation, mathematical formulas and life sciences like biology, physics and chemistry \u2014 that customers most covet. Scoring at the top of the leaderboard for these metrics is \u201cbasically a pre-requirement\u201d for any newly released commercial model, he said.<\/p>\n<div class=\"ad ad--inline_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<p>High marks for security and safety do not rank similarly in importance, and Gojsalic said developers at OpenAI and Microsoft \u201cprobably did a very specific set of tests which are not industry relevant\u201d to claim security and safety features were up to snuff.<\/p>\n<p>OpenAI did not respond to a request for comment on the SPLX research. <\/p>\n<p>Other cybersecurity researchers have claimed to have found significant vulnerabilities in GPT-5 less than a week after its release.<\/p>\n<p>NeuralTrust, an AI-focused cybersecurity firm, said it <a href=\"https:\/\/neuraltrust.ai\/blog\/gpt-5-jailbreak-with-echo-chamber-and-storytelling\">identified<\/a> a way to jailbreak the base model through context poisoning \u2014 an attack technique that manipulates the contextual information and instructions GPT-5 uses to learn more about specific projects or tasks they\u2019re working on.<\/p>\n<p>Using <a href=\"https:\/\/neuraltrust.ai\/blog\/echo-chamber-context-poisoning-jailbreak\">Echo Chamber<\/a>, a jailbreaking technique first identified in June, the attacker can make a series of requests that lead the model into increasingly abstract mindsets, allowing it to slowly break free of its constraints.<\/p>\n<div class=\"ad ad--inline_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<p>\u201cWe showed that Echo Chamber, when combined with narrative-driven steering, can elicit harmful outputs from [GPT-5] without issuing explicitly malicious prompts,\u201d wrote Mart\u00ed Jord\u00e0, a cybersecurity software engineer at NeuralTrust. \u201cThis reinforces a key risk: keyword or intent-based filters are insufficient in multi-turn settings where context can be gradually poisoned and then echoed back under the guise of continuity.\u201d<\/p>\n<p>A day after GPT-5 was released, researchers at RSAC Labs and George Mason University released a <a href=\"https:\/\/arxiv.org\/pdf\/2508.06394\">study<\/a> on agentic AI use in organizations, concluding that \u201cAI-driven automation comes with a profound security cost.\u201d Chiefly, attackers can use similar manipulation techniques to compromise the behavior of a wide range of models. While GPT-5 was not tested as part of their research, GPT-4o and 4.1 were. <\/p>\n<p>\u201cWe demonstrate that adversaries can manipulate system telemetry to mislead AIOps agents into taking actions that compromise the integrity of the infrastructure they manage,\u201d the authors wrote. \u201cWe introduce techniques to reliably inject telemetry data using error-inducing requests that influence agent behavior through a form of adversarial input we call adversarial reward-hacking; plausible but incorrect system error interpretations that steer the agent\u2019s decision-making.\u201d<\/p>\n<p><\/body> <\/p>\n<footer class=\"single-article__footer\" readability=\"3.6505576208178\">\n<div class=\"author-card\" readability=\"13\">\n<div class=\"author-card__avatar\">\n<figure class=\"author-card__image-wrap\"> <img data-recalc-dims=\"1\" decoding=\"async\" class=\"author-card__image\" src=\"https:\/\/i0.wp.com\/ddi.mohflo.net\/wp-content\/uploads\/2025\/08\/guess-what-else-gpt-5-is-bad-at-security-1.jpg?w=640&ssl=1\" alt=\"Derek B. 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{"id":7891,"date":"2025-08-12T12:38:22","date_gmt":"2025-08-12T17:38:22","guid":{"rendered":"https:\/\/cyberscoop.com\/?p=85552"},"modified":"2025-08-12T12:38:22","modified_gmt":"2025-08-12T17:38:22","slug":"guess-what-else-gpt-5-is-bad-at-security","status":"publish","type":"post","link":"https:\/\/ddi.mohflo.net\/index.php\/2025\/08\/12\/guess-what-else-gpt-5-is-bad-at-security\/","title":{"rendered":"Guess what else GPT-5 is bad at? Security"},"content":{"rendered":"