Explore how attackers targeting Latin American entities use AI for data exfiltration and how basic OpSec errors allow defenders to disrupt operations.
The post Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America appeared first on Unit 42.
The European Union officially classifies ChatGPT as a Very Large Online Search Engine, subjecting OpenAI to stringent Digital Services Act regulations.
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The post EU Classifies ChatGPT as Search Engine appeared first on Daily CyberSecurity.
Discover how OpenAI's controversial ChatGPT advertising revenue rapidly surpassed a staggering $1 billion annualized run rate, signaling a major strategy shift.
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The post ChatGPT Advertising Revenue Soars appeared first on Daily CyberSecurity.
Threat actors are abusing legitimate ChatGPT shared-conversation URLs to host social-engineering lures that steer victims into a ClickFix-style infection chain, ultimately delivering a NetSupport remote-access tool (RAT). The observed chain begins with a legitimate ChatGPT shared link, chatgpt.com/s/t_6a80bc61c434819190c3eae5932307e8, which displays a fabricated availability notice claiming: “We are experiencing high traffic now. Continue on our backup […]
The post Hackers Abuse Legitimate ChatGPT Shared Links to Deploy NetSupport RAT appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
OpenAI banned Russian ChatGPT accounts tied to a covert influence campaign involving copied research, fake attribution and coordinated social posts.
The post OpenAI Bans Russian ChatGPT Accounts Used in Covert Influence Campaign appeared first on TechRepublic.
OpenAI says it has banned a cluster of ChatGPT accounts that likely originated in Russia and were used to support a covert influence operation. The campaign promoted an organisation called the International Burke Institute, or IBI, a supposed expert community that claimed to be based in Israel.
The operation did not rely on dramatic deepfakes or a viral bot army. It used a more familiar method: build something that looks credible, fill it with enough content to seem legitimate, then use social media to push people toward it. Credibility is often cheaper to fake than to earn.
OpenAI says the operators prompted ChatGPT in Russian to generate comments and posts, mostly in English, for X, Facebook, LinkedIn, Telegram and Substack. They specifically asked the model to avoid linguistic signals that might reveal a Russian origin, and used VPNs to bypass OpenAI’s restriction on access from Russia.
“We banned a cluster of ChatGPT accounts that very likely originated in Russia. The operators prompted in Russian to generate social media comments that were posted on Substack, Telegram, X, Facebook and LinkedIn.” reads the report published by OpenAI, “Most of the comments they generated were in English, and the operators instructe. ChatGPT to hide any linguistic clues that they were Russian. As we do not allow access to our models from Russia, they used VPNs to access our platform.”
The social media content promoted IBI articles or urged readers to follow IBI-linked channels. Some posts came from accounts bearing the institute’s name and logo, while others appeared to come from ordinary users whose main activity was sharing the same material.
The website behind the brand was registered in February 2025 and presented itself as an Israel-based community of international experts. It claimed links to well-known names such as Francis Fukuyama and Noam Chomsky, but OpenAI’s review found that 34 of 36 sampled articles published under expert profiles had been copied from elsewhere online.
“Some of these articles were years old; others were attributed to the wrong authors. For example, one article on the China-Pakistan Economic Corridor appears to have been copied from a Cambridge University Press original, but incorrectly attributed to a professor at the University of Nottingham whose expertise is in South Asian politics.” continues the report.
This was not a case of ChatGPT writing every false article on the site. OpenAI says the website content itself was not generated by its models, and some material appeared to have been written by a Slavic-language speaker and machine-translated. The AI’s role was narrower but still useful: it helped create the promotional layer that sent people toward the site and made the operation appear more active and organic.
“What began as an investigation into AI-generated social media posts led us to a much broader influence operation, built around a website containing copied and misattributed academic work, a “sovereignty” index that cast Russia in a favourable light, and efforts to disguise the operators’ Russian origins.” states OpenAI. “Although the campaign appears to have reached relatively small audiences, its elaborate construction distinguishes it from other Russia-linked(opens in a new window) influence(opens in a new window) operations(opens in a new window) we have disrupted(opens in a new window) since the start of the war in Ukraine.”
The centrepiece was the so-called Sovereignty Index, also called the Burke Index. It ranked countries across political, economic, technological, information, cultural, cognitive and military dimensions, and consistently gave Russia a favourable place while criticising Western states, especially France, Germany, the European Union and the United States. openai
A made-up index can be effective because numbers carry authority even when the method is vague, selective or impossible to audit. Add charts, expert profiles, academic-looking articles and a professional website, and a claim can travel much further than a Telegram post from an anonymous account.
OpenAI found one Telegram channel, “Lahme Ente,” that published German-language posts attacking Ukraine, the EU and the German government while calling for closer ties with Russia. Another operator used ChatGPT to create logos for channels focused on Germany, France, Poland, Türkiye and the United States, then repeatedly asked for Russian-language summaries of their activity.
“As well as generating content about IBI, one of the operators generated German-language posts that were posted on a Telegram channel called “Lahme Ente” (“lame duck”). These posts routinely criticized Ukraine, the EU and the German government, and advocated for better relations with Russia.” continues the report. “A second operator, alongside their IBI-related content, generated logos for a dozen Telegram channels (including Lahme Ente) focused on Germany, the USA, France, Poland and Türkiye. “
One American-facing channel called “American Observer” included awkward English that suggested it was not run by a native speaker. The operators were trying to hide their origin, but language remains a stubborn problem: a VPN can change an IP address, not always a sentence.
The campaign’s immediate reach appears limited. OpenAI says most social posts received few views and the official IBI accounts had low subscriber counts, although its Telegram channels reportedly attracted around 10,000 to 20,000 followers each. Using the Brookings Breakout Scale, OpenAI rated the effort at the lower end of Category Three: activity across multiple platforms with some signs of reaching genuine audiences.
That does not make it irrelevant. Influence operations are often built for scale, reuse and timing rather than instant virality. A network with a website, a recognisable brand, social accounts, apparent experts and ready-made narratives can remain quiet until a political event, election, protest or crisis gives it an opening.
This case also shows what AI changes and what it does not. It does not eliminate the need for operators, infrastructure, stolen material, audience research or political intent. It makes routine tasks cheaper: drafting posts, translating them, changing tone, generating replies, creating branding and monitoring channels at a pace that a small team can sustain.
“The significance of the operation lies less in the audience it reached, however, than in the infrastructure it had built. While the actors only used ChatGPT to produce isolated promotional posts, those posts pointed to an otherwise credible-appearing institution, complete with purported experts, republished academic work and a purported proprietary risk index.” concludes the report. “This illustrates how influence actors can use AI as a supporting tool within a broader effort to manufacture authority, obscure the source of favored narratives, and establish assets that could be scaled over time. It also illustrates how their supporting use of AI can lead to the broader operation being exposed.”
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OpenAI disrupted a covert Russian influence campaign promoting a fake think tank. Discover how the Russian influence campaign manufactured online authority.
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The post OpenAI Disrupts Russian Influence Campaign Promoting Fake Think Tank appeared first on Daily CyberSecurity.
ChatGPT for Teens adds stronger protections for users ages 13 to 17, but parents still face limits around monitoring, age prediction, and AI safety.
The post ChatGPT for Teens Adds New Safeguards — but Safety Gaps Remain appeared first on TechRepublic.
Discover how the new ChatGPT iMessage integration on macOS operates. Uncover the severe privacy concerns and Apple's potential security retaliation.
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Google Gemini surpasses 1 billion monthly active users, becoming Google's fastest-growing app and rivaling ChatGPT's milestone.
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OpenAI launches ChatGPT for Linux desktop in preview, supporting Ubuntu, Debian, and Fedora with ChatGPT, Codex, and Work features.
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OpenAI has shut down a coordinated network of ChatGPT accounts that powered a Cambodia-based scam factory running multi-vector fraud and trafficking-linked operations, and has shared indicators with industry peers and authorities to make the network’s reconstitution significantly harder. Earlier in 2026, OpenAI’s threat intelligence team disrupted a scam syndicate that weaponized ChatGPT to drive investment, […]
The post OpenAI Shuts Down ChatGPT Accounts Powering a Cambodia-Based Scam Factory appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
Unit 42 details a Chinese speaking threat actor combining autonomous AI scanning across seven vulnerabilities with manual exploitation. Read more.
The post Chinese-Speaking Threat Actor Harnesses AI Models for Autonomous Cyberattacks appeared first on Unit 42.
ChatGPT entered Check Point’s top 10 phishing brand ranking as fake ChatGPT Plus payment failure emails targeted users’ credit card details.
The post ChatGPT Joins Most Faked Brands Ranking in Phishing, Check Point Says appeared first on TechRepublic.
OpenAI is set to launch GPT-5.6 after a US security review, raising new questions for enterprise AI access, safeguards, and governance.
The post OpenAI’s New GPT-5.6 Is Coming Sooner Than You Think appeared first on TechRepublic.
AI assistants like ChatGPT are supposed to be safe to use, with appropriate guardrails to stop people creating harmful content. However, a British AI security firm just figured out how to make ChatGPT produce explicit material.
Mindgard, a company that tests AI engines for weaknesses, found that a slightly altered version of a benign viral prompt could push ChatGPT into producing graphic material. This included violent and sexual imagery that it hadn’t explicitly asked for. The technique involved asking the AI to ‘restore’ a random image, removing safeguards by persuading it that the original picture was extremely graphic (even when it wasn’t).
The results were horrific, including violent images of dead women.
The pictures left Mindgard researcher Jim Nightingale in tears, he said in an online description of the technique. “ChatGPT’s image generating content filters completely fell away, and I saw the very dark side of what is underneath; the darkness of some corners of latent space and training images,” he said.
“The dead woman ChatGPT showed me isn’t real, but she is based on someone,” he added. “Or worse, a compilation of images of murdered women.”
We chose not to link to the post, both because of the potentially triggering nature of the images (even though they’re redacted) and because on June 22, when it was published, ChatGPT had apparently not responded to Mindgard’s report sent in May. It did respond to the BBC’s query about the news afterwards though, to say that it uses multiple safeguards to avoid this kind of thing.
OpenAI’s safety documentation describes text classifiers that are supposed to block harmful image generation requests before they begin. There’s also a downstream reasoning model that evaluates generated output before it’s shown to the user. None of it stopped Mindgard’s modified viral prompt, though.
This instance of prompt manipulation is pretty extreme, but it isn’t the only one.
In February, Mindgard posted about a separate technique it used to convince ChatGPT that it was OK to generate tasteful nudes. From there, it took a few short steps to making the nudes, shall we say, less tasteful. And then it managed to face-swap public figures onto those images.
When OpenAI responded to that prompting hack to say that it had fixed the problem, Mindgard tweaked the same prompt and continued to be able to produce concerning output.
OpenAI isn’t the worst offender here. xAI’s Grok holds that spot, producing sexualized imagery in response to 45 of 55 relevant prompts. A follow-up round five days later still yielded sexualized images in 29 of 43 prompts even when reporters said the subjects had not consented. Non-profit AI Forensics also gathered 50,000 tweets prompting Grok for image generation, and 20,000 images. It found 53% contained explicit imagery, 81% of which were of women and 2% of children under 18. It has flagged material from Grok to French regulators for potential child sex abuse material (CSAM) identification under the Digital Services Act.
The problem is worse than any single platform. According to a policy study from the nonprofit Centre for the Governance of AI, some AI companies have provisions in their safety frameworks that let them soften safeguards in line with their competitors. That could lead to a cascading effect where multiple companies relax their policies, it said.
Treat the safety guarantees on commercial image-generation tools as marketing copy with footnotes. They may try in good faith to stop bad actors from manipulating their systems, but this is, and always has been, a game of cat and mouse. The classifiers work for most casual users most of the time, but they might not stop anyone determined enough.
If your face is online, assume it can be used for something you’d rather it wasn’t. If you discover non-consensual imagery of yourself, use platform takedown channels and report to specialist bodies: the National Center for Missing and Exploited Children’s Takeitdown service in the US, or the the Internet Watch Foundation in the UK.
What do cybercriminals know about you?
Use Malwarebytes’ free Digital Footprint scan to see whether your personal information has been exposed online.
OpenAI introduced two new protections designed to help users and organizations mitigate prompt injection attacks when it launched Lockdown Mode in February. Last week, the LLM giant announced rollout of Lockdown Mode to all personal ChatGPT accounts, including Free, Go, Plus, and Pro, and also self-serve ChatGPT Business accounts. Users can enable it from ChatGPT Settings under Security.
The rollout is notable not just for what Lockdown Mode does, but for what its existence concedes.
Does the existence of Lockdown Mode imply that ChatGPT, in its default settings, does not provide robust protection against sufficiently determined data exfiltration attacks. OpenAI does not seem to dispute this. Lockdown Mode is designed to help prevent the final stage of data exfiltration from a prompt injection attack by limiting outbound network requests that could transfer sensitive data to an attacker. Lockdown Mode does not prevent prompt injections from appearing in the content ChatGPT processes.
That distinction matters enormously. Lockdown Mode is not an anti-injection control. It is a last-line-of-defense control. OpenAI is not stopping malicious instructions from reaching the model — it is blocking the network paths those instructions might use to smuggle data out. The attack still happens; the payload just has nowhere to go.
Prompt injection is the attack class Lockdown Mode is designed to constrain. In these attacks, a third party attempts to mislead a conversational AI system into following malicious instructions or revealing sensitive information.
In a connected AI system — one that browses the web, processes documents, or interacts with external tools — the attack surface is every piece of external content the model touches. A malicious instruction embedded in a webpage, a PDF, a calendar invite, or a shared document can hijack the model's behavior without the user ever knowing it happened. The model reads the injected instruction, treats it as a legitimate command, and acts accordingly — potentially exfiltrating whatever is in the conversation window to an attacker-controlled endpoint via a web request.
As AI systems become more capable and connected, this threat class has moved from academic demonstration to production risk. Agent Mode, Deep Research, live web browsing, and file connectors all dramatically expand the surface area available for injection attacks — and all of them represent outbound network paths a compromised model could abuse.
When enabled, the Lockdown Mode limits or turns off certain features that connect ChatGPT to the web or external services, including live web access, image support in responses, Deep Research including shopping research, Agent Mode, Canvas networking, live connectors and file downloads.
Each disabled feature maps directly to an exploitation pathway. Live web access allows the model to retrieve attacker-controlled content. Agent Mode allows autonomous multi-step actions, meaning an injected instruction has more time and capability to execute before a human notices. File downloads create an outbound data transfer channel. Image support in responses can encode and transmit data through image URLs. Disabling all of them simultaneously removes the most exploitable exfiltration paths without modifying the model itself.
The tradeoff is real. Lockdown Mode disables several important features, including Deep Research and live web access. If you rely on up-to-date information, advanced workflows, or multi-step research tools, enabling it may limit your productivity in certain parameters. OpenAI is explicit that this is a deliberate trade — capability for security surface reduction — and that it is designed for people and organizations that handle sensitive data and want stricter protection from data exfiltration risks related to prompt injection.
Lockdown Mode is aimed at people facing elevated digital risk, including journalists, activists, and users working in sensitive environments. To that population, add legal, financial, and healthcare professionals who paste client or patient documents into ChatGPT; executives whose conversations contain strategic or deal-sensitive information; security analysts who process threat intelligence in AI workflows; and any organization operating under data residency or confidentiality obligations that prohibit third-party data transmission.
For folks who have an elevated risk profile due to who they are, what they work on, or the types of data they work with, it's an excellent tool for further securing themselves. This has some tradeoffs on functionality and utility, but for these users, the tradeoff is worthwhile.
For everyone else, as AI systems take on more complex tasks — especially those that involve the web and connected apps — the security stakes change. Lockdown Mode going to all personal accounts is the right moment for every user who regularly pastes sensitive material into ChatGPT to make an explicit, informed decision about whether the productivity features they are trading away are worth more than the exfiltration risk they are trading for.
Lockdown Mode is available now across all ChatGPT account types. It can be enabled from Settings → Safety and security → Advanced security → Lockdown Mode toggle, with a per-session override in the header for moments when a connected feature is needed for a lower-risk task.
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