{"id":8185,"date":"2025-12-08T11:37:36","date_gmt":"2025-12-08T17:37:36","guid":{"rendered":"https:\/\/cyberscoop.com\/?p=87071"},"modified":"2025-12-08T11:37:36","modified_gmt":"2025-12-08T17:37:36","slug":"uk-cyber-agency-warns-llms-will-always-be-vulnerable-to-prompt-injection","status":"publish","type":"post","link":"https:\/\/ddi.mohflo.net\/index.php\/2025\/12\/08\/uk-cyber-agency-warns-llms-will-always-be-vulnerable-to-prompt-injection\/","title":{"rendered":"UK cyber agency warns LLMs will always be vulnerable to prompt injection"},"content":{"rendered":"<p><head> <meta charset=\"UTF-8\"> <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"> <meta name=\"robots\" content=\"index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1\"> <!-- This site is optimized with the Yoast SEO Premium plugin v24.5 (Yoast SEO v24.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ --> <title>UK cyber agency warns LLMs will always be vulnerable to prompt 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class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<section id=\"stickybar\" class=\"stickybar stickybar--newsletter js-stickybar\" readability=\"0.82\"> <button class=\"stickybar__close js-stickybar-close\" aria-controls=\"stickybar\"> <svg class=\"icon icon--close\" width=\"21\" height=\"22\" viewBox=\"0 0 21 22\" fill=\"none\"><path d=\"m.822.518-.805.805L9.695 11 .017 20.678l.805.805 9.678-9.678 9.677 9.678.806-.805L11.305 11l9.678-9.677-.806-.805-9.677 9.677L.822.518Z\" fill=\"currentColor\" \/><\/svg> <span class=\"visually-hidden\">Close<\/span> <\/button> <\/section>\n<article class=\"single-article content\">\n<div class=\"single-article__container js-single-article-content\">\n<header class=\"single-article__header \" readability=\"25.316377171216\">\n<div class=\"single-article__header-content\" readability=\"34.329896907216\">\n<p> The comments echo many in the research community who have said the flaw is an inherent trait of generative AI technology. <\/p>\n<p> <!-- Listen to this article section --> <!-- Audio Element --><br \/>\n<audio id=\"audio-player\" src=\"https:\/\/wp-tts-cdn.api.scpnewsgrp.com\/cyberscoop\/87071\/english.openai.mp3\"><\/audio> <\/p>\n<div readability=\"11\">\n<div>\n<p>Listen to this article<\/p>\n<p> <!-- Countdown Timer --> <\/p>\n<p>0:00<\/p>\n<\/p><\/div>\n<p> <!-- Tooltip --> <\/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> <!-- End of audio player --> <\/div>\n<div class=\"single-article__cover-wrap\">\n<figure class=\"single-article__cover\"> <img data-recalc-dims=\"1\" fetchpriority=\"high\" width=\"640\" height=\"366\" src=\"https:\/\/i0.wp.com\/ddi.mohflo.net\/wp-content\/uploads\/2025\/12\/uk-cyber-agency-warns-llms-will-always-be-vulnerable-to-prompt-injection.jpg?resize=640%2C366&#038;ssl=1\" class=\"single-article__cover-image 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class=\"single-article__content-inner has-drop-cap\"> <html readability=\"59.43036346092\"><body readability=\"120.16492656167\"><\/p>\n<p>The UK\u2019s top cyber agency issued a warning to the public Monday: large language model AI tools may always contain a persistent flaw that allows malicious actors to hijack models and potentially weaponize them against users.<\/p>\n<p>When ChatGPT launched in 2022, security researchers began testing the tool and other LLMs for functionality, security and privacy. They very quickly identified a fundamental deficiency: because these models treat all prompts as instructions, they can be easily manipulated through simple techniques that would typically only succeed against young children.&nbsp;<\/p>\n<p>Known as prompt injection, this technique works by sending malicious requests to the AI in the form of instructions, allowing bad actors to blow past any internal guardrails that developers had put in place to prevent models from taking harmful or dangerous actions.&nbsp;<\/p>\n<p>In a <a href=\"https:\/\/www.ncsc.gov.uk\/blog-post\/prompt-injection-is-not-sql-injection\">blog post<\/a> Monday\u2014three years after ChatGPT\u2019s debut\u2014the UK\u2019s top cybersecurity agency warned that prompt injection is inextricably intertwined in LLMs\u2019&nbsp; architecture, making the problem impossible to eliminate entirely.<\/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>The National Cyber Security Centre\u2019s technical director for platforms research said this is because, at their core, these large language models do not make any distinction between trusted and untrusted content they encounter.&nbsp;<\/p>\n<p>\u201cCurrent large language models (LLMs) simply do not enforce a security boundary between instructions and data inside a prompt,\u201d wrote David C (the NCSC does not publish its director\u2019s full name in public releases).<\/p>\n<p>Instead these models \u201cconcatenate their own instructions with untrusted content in a single prompt, and then treat the model\u2019s response as if there were a robust boundary between \u2018what the app asked for\u2019 and anything in the untrusted content,\u201d he wrote.<\/p>\n<p>While there may be a temptation to compare prompt injection to other kinds of manageable attacks, like <a href=\"https:\/\/cheatsheetseries.owasp.org\/cheatsheets\/SQL_Injection_Prevention_Cheat_Sheet.html\">SQL injection<\/a>, which also deal with web pages incorrectly handling data and instructions, the English expert said he believes prompt injections are substantively worse in important ways.<\/p>\n<p>Because these algorithms operate solely through pattern matching and prediction, they cannot distinguish between different inputs. The models lack the ability to assess whether the information is trustworthy, or if the input is merely something the program should process and store or treat as active instructions for its next task.<\/p>\n<p>\u201cUnder the hood of an LLM, there\u2019s no distinction made between \u2018data\u2019 or \u2018instructions\u2019;&nbsp; there is only ever \u2018next token,\u2019\u201d the author wrote. \u201cWhen you provide an LLM prompt, it doesn\u2019t understand the text in the way a person does. It is simply predicting the most likely next token from the text so far.<\/p>\n<p>Because of this, \u201cit\u2019s very possible that prompt injection attacks may never be totally mitigated in the way that SQL injection attacks can be,\u201d he wrote.<\/p>\n<p>The NCSC\u2019s findings align with what some independent researchers and even AI companies have been saying: that problems like prompt injections, jailbreaking and hallucinations may never fully be solved. And when these models pull content from the internet, or from external parties to complete tasks, there will always be a danger that such content will be treated as a direct instruction from its owners or administrators.<\/p>\n<p>On software repositories like GitHub, major AI coding tools from Open AI and Anthropic have been integrated into automated software development workflows. These integrations created a vulnerability: maintainers\u2014and in some cases, external contributors\u2014<a href=\"https:\/\/cyberscoop.com\/ai-coding-tools-can-be-turned-against-you-aikido-github-prompt-injection\/\">could embed malicious prompts<\/a> within standard development elements like commit messages and pull requests. The LLM would then treat these prompts as legitimate instructions.<\/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>While some of the models could only execute major tasks with human approval, the researchers said this too could be circumvented with a one-line prompt.<\/p>\n<p>Meanwhile, AI browser agents that are meant to help users and businesses shop, communicate and do research online have been found to be similarly vulnerable to many of the same problems.<\/p>\n<p>Researchers found they could sometimes piggyback off ChatGPT\u2019s browser authentication protocols to inject hidden instructions into the LLM\u2019s memory and achieve remote code execution privileges.<\/p>\n<p>Other researchers have <a href=\"https:\/\/cyberscoop.com\/openai-atlas-splx-research-cloaking-attacks-browser-agents\/\">created web pages<\/a> that served different content to AI crawlers visiting their website, influencing the model\u2019s internal evaluations with untrusted content.<\/p>\n<p>AI companies have increasingly acknowledged the enduring nature of these weaknesses in LLM technology, though they claim to be working on solutions.<\/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 September, OpenAI published a<a href=\"https:\/\/arxiv.org\/abs\/2509.04664\"> paper<\/a> claiming that hallucinations are a solvable problem. According to the research, hallucinations occur because of how developers train and evaluate these models: large language models are penalized when they express uncertainty over giving confident answers, even if the confident answers are wrong. For example, if you ask an LLM what your birthday is, an LLM that responds \u201cI don\u2019t know\u201d gets a lower evaluation score than one that guesses any of the possible 365 answers, despite having no way to know the correct answer.<\/p>\n<p>The paper claims that OpenAI\u2019s evaluation for newer models rebalances those incentives, leading to fewer (but nonzero) hallucinations.Companies like Anthropic have said <a href=\"https:\/\/cyberscoop.com\/anthropic-claude-breaks-bad-jailbreak-reward-hacking-study\/\">they rely on<\/a> monitoring of user accounts and other outside detection tools, as opposed to internal guardrails within the models themselves, to identify and combat jailbreaking, which affect nearly all commercial and open source models.<\/p>\n<p><\/body> <\/p>\n<footer class=\"single-article__footer\" readability=\"3.469964664311\">\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\/12\/uk-cyber-agency-warns-llms-will-always-be-vulnerable-to-prompt-injection-1.jpg?w=640&#038;ssl=1\" alt=\"Derek B. 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Derek has a bachelor\u2019s degree in print journalism from Hofstra University in New York and a master\u2019s degree in public policy from George Mason University in Virginia. <\/p>\n<\/p><\/div>\n<div class=\"single-article__tags-container\">\n<h4 class=\"single-article__tags-title\">In This Story<\/h4>\n<\/p><\/div>\n<\/footer>\n<p> <\/html><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"single-article__ads js-single-article-sidebar\">\n<div class=\"ad ad--sidebar js-single-article-sidebar-5 ad--rightrail_1 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<div class=\"ad ad--sidebar js-single-article-sidebar-4 ad--rightrail_2 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> <\/div>\n<\/div>\n<div class=\"ad ad--sidebar js-single-article-sidebar-3 ad--rightrail_3 \">\n<div class=\"ad__inner\"> <span class=\"screen-reader-text\">Advertisement<\/span> 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