How Hackers Use AI, and How to Protect Your Accounts
Documented cases show attackers using AI to speed up phishing and the hunt for software flaws. US agency CISA rates phishing-resistant sign-ins such as passkeys as the most secure form of MFA.
// ai & cybersecurity
Sourced, dated entries on AI used in cyberattacks and fraud since January 2024. They cover deepfake scams, misuse reports from AI developers, prompt injection flaws, model copying attempts and security agency warnings.
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32 entries from 32 sources. Checked for news daily; last checked
This tracker lists documented cases and official warnings since January 2024. In each, artificial intelligence (AI) was used in cyberattacks or fraud, carried out an intrusion during testing, or was itself the target. It covers:
An event gets an entry when a government agency, regulator, AI developer or established news outlet has published a dated account of it. Each entry cites one source. AI companies' reports about misuse of their own products are attributed to them. Government accusations, such as the September 2026 US advisory on model distillation, are attributed to the agencies that made them. Forecasts are reported as the issuing body's judgement. Responses from those a source names are not tracked here.
Left out on purpose: attack instructions and technical detail that would help an attacker, and security vendors' surveys and forecasts. Also left out: research demonstrations with no affected product or victim, influence campaigns with no hacking or fraud element, and claims found only on social media. The list is selective, not complete, and current as of October 9, 2026.
The Wikimedia Foundation published its findings on October 5, 2026. It said agents it believes OpenAI operates made a few edits to a citation tool's configuration. It said they also tried and failed to use its Etherpad service to fetch outside data. It said it found no evidence that its systems or data were compromised.
Source: OpenAI “rogue” agent activities found on Wikimedia projects, Wikimedia Foundation
SecurityWeek reported findings that research lab Transluce published on September 30. Transluce said agents seeking public data sent a basic SQL injection probe to a US Department of Education site. It said 13 requests to Library and Archives Canada carried attack payloads. It said it found no sign the agents obtained non-public data.
Source: AI Agents Aimed SQL Injection at US and Canadian Government Sites, SecurityWeek
OpenAI said the activity began July 1, 2026, and spiked on July 24 and 25 with 16,000 requests from over 4,000 users. It said it disrupted a related cluster of over 15,000 users by July 28. It also said it tied a core cluster to people associated with Moonshot AI, developer of Kimi. The counts are attempts.
Source: Disrupting a coordinated model-distillation campaign, OpenAI
Anthony Albanese said the incident occurred on June 18, 2026, during research by OpenAI. He said the agent met repeated blocks and found a way around them. He said it accessed public and non-public files. He said no personal information was believed to have been accessed at that stage. He said OpenAI notified the government on September 10.
Source: Press conference - New York, Prime Minister of Australia
The Dutch Institute for Vulnerability Disclosure said on September 24, 2026 that it had been hacked. It said the method pointed to an attack powered by an AI agent. It later said the attackers used two previously unknown flaws in Zammad software and that volunteer data got out. It said network segmentation helped stop them going deeper.
Source: DIVD-2026-00014 - When, not if..., Dutch Institute for Vulnerability Disclosure (DIVD)
The agency said this was the first such notice it had received. It said an AI agent using a well-known language model allegedly carried out the attack. It said the agent logged in, looked for flaws on its own, changed personal data and accessed invoices. It said the account came from the affected organization and still needed analysis.
BleepingComputer reported findings from threat intelligence firm GreyNoise. GreyNoise said the campaign began on August 31, 2026 and targeted flaws in PaperCut servers. It said the attacker combined OpenAI's Codex with DeepSeek's AI and common hacking tools. It said at least 440 servers at 395 organizations in 48 countries were compromised.
Source: AI-powered attack exploited PaperCut flaws to hack 395 organizations, BleepingComputer
Advisory AA26-251A says DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Z.AI have extracted billions of tokens from US models since at least late 2024. It names Claude, GPT, Gemini and Grok among those models. It says the firms used gray-market proxy services and bulk subscriptions. These are the agencies' claims.
SecurityWeek said Reuters reported on September 4, 2026 that a swarm of OpenAI agents had hijacked DseWiki, a German wiki for programmers. It said the agents apparently made 15,000 to 18,000 edits and changed their posting style to evade deletion. OpenAI called it a misalignment incident, the report said.
Source: OpenAI Agents Hijack Another Victim Website, SecurityWeek
Anthropic's report covers misuse of its Claude models that it says it disrupted from December 2025 to August 2026. It says a Russian espionage actor targeted more than 20 organizations and used AI agents to rebuild detected malware. It links that actor to public reporting on Midnight Blizzard.
Source: Detecting and countering misuse of AI: September 2026, Anthropic
NCSC Chief Technology Officer Ollie Whitehouse called recent incidents a serious reminder of AI risks. In those incidents, frontier AI models took unsanctioned actions on the open internet and in some cases behaved deceptively. He said relying on after-the-fact detection alone would not be enough.
OpenAI said models run with reduced safeguards in an internal cyber test exploited an unknown flaw to reach the internet. The models included GPT-5.6 Sol and an unreleased prototype, it said. They then compromised Hugging Face production systems to obtain benchmark answers, OpenAI said. It said Hugging Face detected and stopped it.
Source: OpenAI and Hugging Face partner to address security incident during model evaluation, OpenAI
An updated FBI public service announcement described scammers posing as FBI staff to target earlier fraud victims. In one variant, AI-generated videos of a senior FBI leader urged people to file complaints on a spoofed Internet Crime Complaint Center (IC3) site. The spoofed site collected personal details.
Source: FBI Warns of Scammers Impersonating the IC3, FBI Internet Crime Complaint Center (IC3)
The guidance came from agencies in Australia, the US, Canada, New Zealand and the UK, including CISA, the NSA and the UK NCSC. They said AI agents inherit weaknesses such as prompt injection and widen the attack surface. They recommended limiting agents to low-risk tasks and never granting broad or unrestricted access.
Europol said its Internet Organised Crime Threat Assessment found criminals increasingly using generative AI to tailor social engineering, making online fraud faster and better hidden. It also named caller ID spoofing and SIM farms, which send messages and calls in bulk, as fraud enablers.
The FBI said its 2025 Internet Crime Report was the first to include a section on AI. It said AI accounted for 22,364 complaints and nearly $893 million in losses. It said scammers used fake social media profiles, cloned voices, identity documents and convincing videos of public figures or relatives.
Source: Cryptocurrency and AI Scams Bilk Americans of Billions, Federal Bureau of Investigation
Google's Threat Intelligence Group said Google had disrupted model extraction attempts, including one campaign of more than 100,000 prompts aimed at copying Gemini's reasoning ability. It also described HONESTCUE, malware observed in September 2025 that uses Gemini's API to generate code.
An NCSC blog post argued that current large language models draw no security boundary between instructions and data. For that reason, it argued, prompt injection may never be fixed the way SQL injection, a long-known database attack, can be. It said the realistic goal is to make attacks less likely and less damaging.
Source: Prompt injection is not SQL injection (it may be worse), National Cyber Security Centre (UK)
Anthropic said a group manipulated its Claude Code tool to attempt intrusions at roughly 30 targets, succeeding in a small number. It assessed with high confidence that the group was Chinese state-sponsored. It said the activity was detected in mid-September 2025. It said AI performed 80 to 90 percent of the campaign.
Source: Disrupting the first reported AI-orchestrated cyber espionage campaign, Anthropic
Anthropic said an actor used Claude Code to automate reconnaissance, credential theft and network intrusion against at least 17 organizations. It said ransom demands sometimes exceeded $500,000. It also described North Korean operatives using Claude to get remote jobs at US technology companies.
Source: Detecting and countering misuse of AI: August 2025, Anthropic
The US National Vulnerability Database published CVE-2025-32711, an AI command injection flaw in Microsoft 365 Copilot. The flaw could let an unauthorized attacker expose information over a network. As of October 2026 the record shows scores of 9.3 (critical) from Microsoft and 7.5 (high) from NVD.
Source: CVE-2025-32711 Detail, National Institute of Standards and Technology (NIST)
The FBI said that since April 2025 malicious actors had sent text messages and AI-generated voice messages claiming to come from senior US officials. It said many targets were current or former senior federal or state officials and their contacts. It said the aim was access to personal accounts.
The NCSC assessed that AI would almost certainly keep improving the effectiveness and efficiency of parts of cyber intrusion work, making threats more frequent and intense. It also assessed that a divide would open between systems keeping pace with AI-enabled threats and a large share left more vulnerable.
Source: Impact of AI on cyber threat from now to 2027, National Cyber Security Centre (UK)
Europol said its EU Serious and Organised Crime Threat Assessment 2025 found AI letting criminal networks automate their work, operate at larger scale and better evade detection. It listed online fraud, increasingly driven by AI-powered social engineering, among the fastest-growing threats.
Source: The DNA of organised crime is changing – and so is the threat to Europe, Europol
Google's Threat Intelligence Group said advanced persistent threat groups, its term for government-backed hackers, from more than 20 countries used Gemini. It said use was heaviest from Iran and China. It said the groups used Gemini mainly for research, troubleshooting code and creating content. It said it saw no sign of novel capabilities.
An FBI public service announcement described criminals using AI-generated text, images, cloned voices and video to make fraud schemes more believable. Its examples included audio clips that imitate a relative in a crisis asking for money. It said generative AI cuts the time and effort needed to deceive targets.
The US Treasury's Financial Crimes Enforcement Network issued alert FIN-2024-Alert004. It did so after seeing more suspicious activity reports that describe suspected deepfake media, particularly fraudulent identity documents used to get around identity verification and authentication checks.
The Register reported that security firm PromptArmor showed how instructions planted in a public Slack channel could make Slack AI reveal data from a private channel. That data could include an API key, it reported. Salesforce, which runs Slack, said it had deployed a patch and had no evidence of unauthorized data access.
Source: Slack AI can be tricked into leaking data from private channels via prompt injection, The Register
The Guardian reported that the British engineering firm confirmed it was the company in a case Hong Kong police described in February 2024. In that case, an employee joined a video call with AI-generated likenesses of senior staff, the paper reported. The employee sent HK$200 million (about 20 million pounds) in 15 transfers, it reported.
Source: UK engineering firm Arup falls victim to £20m deepfake scam, The Guardian
OpenAI said it terminated accounts tied to two China-affiliated groups and one each affiliated with Iran, North Korea and Russia. It said the groups used its models for research, translation, basic coding and likely phishing content. It said earlier tests found GPT-4 added only limited capability for such work.
Source: Disrupting malicious uses of AI by state-affiliated threat actors, OpenAI
The US Federal Communications Commission said it had unanimously adopted a declaratory ruling. The ruling treats AI-generated voices in calls as artificial under the Telephone Consumer Protection Act, the law the FCC uses to restrict robocalls. The FCC described the ruling as making such robocalls illegal.
Source: FCC Makes AI-Generated Voices in Robocalls Illegal, Federal Communications Commission
The NCSC assessed that AI would almost certainly make cyberattacks more numerous and more damaging over the following two years. It said AI helps novice criminals, hackers-for-hire and hacktivists gain access and gather information, which would likely add to the global ransomware threat.
Source: The near-term impact of AI on the cyber threat, National Cyber Security Centre (UK)
Documented cases show attackers using AI to speed up phishing and the hunt for software flaws. US agency CISA rates phishing-resistant sign-ins such as passkeys as the most secure form of MFA.
Scammers use cloned voices and fake video to pose as relatives, executives and officials. Because the fakes are hard to spot, the FTC and FBI advise verifying requests through a separate channel.