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ChatGPhish

campaign · campaign:chatgphish-chatgpt-markdown-rendering-flaw-permiso-security

ChatGPT Markdown-renderer weakness trusting third-party image URLs, weaponisable for phishing (Permiso Security).

Coverage timeline
2
first 2026-05-25 → last 2026-05-30
Peak priority
notable
2 notable
Sources cited
6
6 hosts
Sections touched
2
research, weekly-multi-day
Co-occurring entities
0
no co-occurrence
ATT&CK techniques
0
no mapped behavior yet
2026-05-252 appearances2026-05-30

Story timeline

  1. 2026-05-30ChatGPhish: Permiso Security documents ChatGPT Markdown renderer trusting third-party image URLs and links — used for IP exfiltration and phishing via legitimate chatgpt.com
    researchChatGPhish: Permiso Security documents ChatGPT Markdown renderer trusting third-party image URLs and links — used for IP exfiltration and phishing via
  2. 2026-05-25AI tooling as lure, attack surface and force-multiplier — the cross-day pattern no single daily framed whole
    weekly-multi-day

Where this entity is cited

  • weekly-multi-day1
  • research1

Source distribution

  • microsoft.com1 (17%)
  • permiso.io1 (17%)
  • pushsecurity.com1 (17%)
  • redcanary.com1 (17%)
  • sysdig.com1 (17%)
  • thehackernews.com1 (17%)

explore in graph

Entries about ChatGPhish (2)

2026-05-30 · view entry permalink →

NOTABLE

ChatGPhish: Permiso Security documents ChatGPT Markdown renderer trusting third-party image URLs and links — used for IP exfiltration and phishing via legitimate chatgpt.com

Permiso Security's P0 Labs (researcher Andi Ahmeti) disclosed on 29 May 2026 that ChatGPT's web summarisation feature unconditionally trusts and renders Markdown image URLs and links extracted from third-party pages, executing them inside the trusted chatgpt.com UI (Permiso Security P0 Labs, 2026-05-29; The Hacker News, 2026-05-29). An attacker embedding a small Markdown payload on any web page (GitHub README, SaaS dashboard, documentation portal) triggers the attack when a victim asks ChatGPT to summarise the page: the payload executes silently and can exfiltrate the victim's IP, User-Agent, and Referer via attacker-hosted image fetch; render malicious links styled as ChatGPT output; inject fake security alerts; and serve QR codes from attacker-controlled S3 buckets that bypass desktop URL filters by moving the click action to mobile. Permiso submitted to OpenAI via Bugcrowd on 29 April; after follow-up on 7 May, OpenAI marked it as not reproducible then as not applicable, without resolution. No CVE assigned. Defenders using ChatGPT for document summarisation in enterprise workflows should: restrict ChatGPT access to internal documentation portals; educate users that any AI-summarised third-party page can carry attacker instructions embedded in rendered output.

research30 May 05:00Zmulti-sourceOpen finding ↗

2026-05-25 · view entry permalink →

NOTABLE

AI tooling as lure, attack surface and force-multiplier — the cross-day pattern no single daily framed whole

Five separate daily items this week, each minor on its own, line up into the most important emerging pattern of the window: AI products are now simultaneously a lure brand, an attack surface, and an offensive force-multiplier. As a lure: ACR Stealer was distributed through counterfeit Claude AI download pages promoted by malicious search ads (2026-05-26), and a cryptojacking campaign used AI-chatbot search-result poisoning to steer victims to GPU-utility lookalikes that dropped ScreenConnect and process-hollowed miners under a signed Microsoft binary (2026-05-28). As an attack surface: LLMShare malvertising hid fake outage pages inside ChatGPT share links to serve infostealers (2026-05-30); ChatGPhish abused the ChatGPT Markdown renderer's trust of third-party image URLs and links for IP exfiltration and phishing from legitimate chatgpt.com (2026-05-30); and Red Canary detailed Entra Agent ID privilege escalation, injecting credentials into agent blueprints for tenant-wide lateral movement (2026-05-30). As a force-multiplier: Sysdig TRT documented the first observed LLM-agent-driven post-exploitation, moving from a Marimo-notebook RCE (CVE-2026-39987) to internal-database exfiltration in four pivots in under an hour (2026-05-30).

The synthesis for a public-sector SOC: treat AI-brand download and search results as a live malvertising vector (block lookalike domains, prefer vendor-canonical download paths); scope DLP and egress controls to LLM rendering and share endpoints; and govern non-human agent identities (Entra Agent IDs, service-principal-equivalent AI agents) with the same conditional-access and credential-hygiene controls applied to service principals.

synthesis25 May 05:00Zmulti-sourceOpen finding ↗