All news with #openai tag

🚀 Amazon Bedrock now supports importing custom weights for gpt-oss-120b and gpt-oss-20b, allowing customers to bring tuned OpenAI GPT OSS models into a fully managed, serverless environment. This capability eliminates the need to manage infrastructure or model serving while enabling deployment of text-to-text models for reasoning, agentic, and developer tasks. gpt-oss-120b is optimized for production and high-reasoning use cases; gpt-oss-20b targets lower-latency or specialized scenarios. The feature is generally available in US‑East (N. Virginia).

🔬 In episode 77 of The AI Fix, Graham Cluley and Mark Stockley survey a week of unsettling and sometimes absurd AI stories. They discuss a bioRxiv preprint showing a genome-trained LLM generating novel bacteriophage sequences, debates over whether AI should be allowed to decide life-or-death outcomes, and a woman who legally ‘wed’ a ChatGPT persona she named "Klaus." The episode also covers a robot's public face-plant in Russia, MIT quietly retracting a flawed cybersecurity paper, and reflections on how early AI efforts were cobbled together.

🔐 Researchers at Tenable disclosed seven techniques that can cause ChatGPT to leak private chat history by abusing built-in features such as web search, conversation memory and Markdown rendering. The attacks are primarily indirect prompt injections that exploit a secondary summarization model (SearchGPT), Bing tracking redirects, and a code-block rendering bug. Tenable reported the issues to OpenAI, and while some fixes were implemented several techniques still appear to work.

🔎 Microsoft researchers disclosed a new side-channel attack called Whisper Leak that can infer the topic of encrypted conversations with language models by observing network metadata such as packet sizes and timings. The technique exploits streaming LLM responses that emit tokens incrementally, leaking size and timing patterns even under TLS. Vendors including OpenAI, Microsoft Azure, and Mistral implemented mitigations such as random-length padding and obfuscation parameters to reduce the effectiveness of the attack.

🤖 OpenAI is preparing to roll out the GPT-5.1 family — GPT-5.1 (base), GPT-5.1 Reasoning, and subscription-based GPT-5.1 Pro — to the public in the coming weeks, with models also expected on Azure. The update emphasizes faster performance and strengthened health-related guardrails rather than a major capability leap. OpenAI also launched a compact Codex variant, GPT-5-Codex-Mini, to extend usage limits and reduce costs for high-volume users.

🔒 Microsoft has disclosed a novel side-channel called Whisper Leak that can let a passive observer infer the topic of conversations with streaming language models by analyzing encrypted packet sizes and timings. Researchers at Microsoft (Bar Or, McDonald and the Defender team) demonstrate classifiers that distinguish targeted topics from background traffic with high accuracy across vendors including OpenAI, Mistral and xAI. Providers have deployed mitigations such as random-length response padding; Microsoft recommends avoiding sensitive topics on untrusted networks, using VPNs, or preferring non-streaming models and providers that implemented fixes.

🔍 Microsoft researchers disclosed "Whisper Leak", a new side-channel that can infer conversation topics from encrypted, streamed language model responses by analyzing packet sizes and timings. The study demonstrates high classifier accuracy on a proof-of-concept sensitive topic and shows risk increases with more training data or repeated interactions. Industry partners including OpenAI, Mistral, Microsoft Azure, and xAI implemented streaming obfuscation mitigations that Microsoft validated as substantially reducing practical risk.

🔐 This post demonstrates a proof-of-concept for teaching autonomous agents internet safety by integrating real-time threat intelligence. Using LangChain with OpenAI and the Cisco Umbrella API, the example shows how an agent can extract domains and query dispositions to decide whether to connect. The agent returns clear disposition reports and abstains when no domains are present. The approach emphasizes decision-making over hardblocking.

🔒 Bug bounty programs remain a core component of security testing in 2025, drawing external researchers to identify flaws across web, mobile, AI, and critical infrastructure. Leading platforms like Bugcrowd, HackerOne, Synack and vendors such as Apple, Google, Microsoft and OpenAI have broadened scopes and increased payouts. Firms now reward full exploit chains and emphasize human-led reconnaissance over purely automated scanning. Programs also support regulatory compliance in critical sectors.

🛡️ Cybersecurity researchers disclosed seven vulnerabilities in OpenAI's GPT-4o and GPT-5 models that enable indirect prompt injection attacks to exfiltrate user data from chat histories and stored memories. Tenable researchers Moshe Bernstein and Liv Matan describe zero-click search exploits, one-click query execution, conversation and memory poisoning, a markdown rendering bug, and a safety bypass using allow-listed Bing links. OpenAI has mitigated some issues, but experts warn that connecting LLMs to external tools broadens the attack surface and that robust safeguards and URL-sanitization remain essential.

🔐 Microsoft Incident Response (DART) uncovered a covert backdoor named 'SesameOp' in July 2025 that leverages the OpenAI Assistants API as a command-and-control channel. The malware uses an obfuscated DLL loader, Netapi64.dll, and a .NET component, OpenAIAgent.Netapi64, to fetch compressed, encrypted commands and return results via the API. Microsoft recommends firewall audits, EDR in block mode, tamper protection and cloud-delivered Defender protections to mitigate the threat.

🛡️ Researchers at Microsoft disclosed a previously undocumented backdoor, dubbed SesameOp, that abuses the OpenAI Assistants API to relay commands and exfiltrate results. The attack chain uses .NET AppDomainManager injection to load obfuscated libraries (loader "Netapi64.dll") into developer tools and relies on a hard-coded API key to pull payloads from assistant descriptions. Because traffic goes to api.openai.com, the campaign evaded traditional C2 detection. Microsoft Defender detections and account key revocation were used to disrupt the operation.

🛡️ Microsoft DART researchers uncovered SesameOp, a novel .NET backdoor that leverages the OpenAI Assistants API as a covert command-and-control (C2) channel instead of traditional infrastructure. The implant includes a heavily obfuscated loader (Netapi64.dll) and a backdoor (OpenAIAgent.Netapi64) that persist via .NET AppDomainManager injection, using layered RSA/AES encryption and GZIP compression to fetch, execute, and exfiltrate commands. Microsoft and OpenAI investigated jointly and disabled the suspected API key; detections and mitigation guidance are provided for defenders.

🛡️ OpenAI Aardvark is an autonomous GPT-5-based agent that scans, analyzes and patches code by emulating a human security researcher. Rather than only flagging suspicious patterns, it maps repositories, builds contextual threat models, validates findings in sandboxes and proposes fixes via Codex, then rechecks changes to prevent regressions. OpenAI reports it found 92% of benchmark vulnerabilities and has already identified real issues in open-source projects, offering free coordinated scanning for selected non-commercial repositories.

📰 OpenAI is weighing memory-based advertising on ChatGPT as it looks to diversify revenue beyond subscriptions and enterprise deals. The company, valued near $500 billion, has about 800 million users but only ~5% pay, and paid customers generate the bulk of recent revenue. Internally the move is debated — focus groups suggest some users already assume sponsored answers — and the company is expanding cheaper Go plans and purchasable credits.

🔍 OpenAI has introduced Aardvark, an agentic security researcher powered by GPT-5 that autonomously scans source code repositories to identify vulnerabilities, assess exploitability, and propose targeted patches that can be reviewed by humans. Embedded in development pipelines, the agent monitors commits and incoming changes continuously, prioritizes threats by severity and likely impact, and attempts controlled exploit verification in sandboxed environments. Using OpenAI Codex for patch generation, Aardvark is in private beta and has already contributed to the discovery of multiple CVEs in open-source projects.

🛡️ OpenAI has introduced Aardvark, a GPT-5-powered autonomous agent designed to scan, reason about, and patch code with the judgment of a human security researcher. Announced in private beta, Aardvark maps repositories, builds contextual threat models, continuously monitors commits, and validates exploitability in sandboxed environments before reporting findings. When vulnerabilities are confirmed, it proposes fixes via Codex and re-analyzes patches to avoid regressions. OpenAI reports a 92% detection rate in benchmark tests and has already identified real-world flaws in open-source projects, including ten issues assigned CVE identifiers.

🧭 OpenAI rolled out an October 5 update that enables GPT-5 to better recognize and respond to mental and emotional distress in conversations. The change specifically upgrades GPT-5 Instant—the fast, low-end default—so it can detect signs of acute distress and route sensitive exchanges to reasoning models when needed. OpenAI says it developed the update with mental-health experts to prioritize de-escalation and provide appropriate crisis resources while retaining supportive, grounding language. The update is available broadly and complements new company-context access via connected apps.

⚠️ Researchers at LayerX disclosed a vulnerability in ChatGPT Atlas that can let attackers inject hidden instructions into a user's memory via a CSRF vector, contaminating stored context and persisting across sessions and devices. The exploit works by tricking an authenticated user to visit a malicious page which issues a CSRF request to silently write memory entries that later influence assistant responses. Detection requires behavioral hunting—correlating browser logs, exported chats and timestamped memory changes—since there are no file-based indicators. Administrators are advised to limit Atlas in enterprise pilots, export and review chat histories, and treat affected accounts as compromised until memory is cleared and credentials rotated.

🤖 GitHub announced Agent HQ, a unified platform that makes coding agents native to the GitHub workflow. Over the coming months, partner agents from OpenAI, Anthropic, Google, Cognition, and xAI will become available as part of paid Copilot subscriptions. The release introduces a cross‑surface mission control, VS Code planning and customizable AGENTS.md files, and an enterprise control plane with governance, metrics, and code‑quality tooling to manage agent-driven work.