Our Ollama honeypot infrastructure captured 91,403 attack sessions between October 2025 and January 2026. Buried in that data: two distinct campaigns that reveal how threat actors are systematically mapping the expanding surface area of AI deployments.
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This corroborates and extends Defused’s findings .
The first campaign exploited server-side request forgery vulnerabilities—tricks that force your server to make outbound connections to attacker-controlled infrastructure.
Attackers targeted two vectors:
The campaign ran from October 2025 through January 2026, with a dramatic spike over Christmas—1,688 sessions in 48 hours. Attackers used ProjectDiscovery's OAST (Out-of-band Application Security Testing) infrastructure to confirm successful SSRF exploitation via callback validation.
Fingerprinting revealed the operation's structure. A single JA4H signature (po11nn060000…) appeared in 99% of attacks, pointing to shared automation tooling—likely Nuclei. The 62 source IPs spread across 27 countries, but consistent fingerprints indicate VPS-based infrastructure, not a botnet.
Assessment: Probably security researchers or bug bounty hunters. OAST callbacks are standard vulnerability research techniques. But the scale and Christmas timing suggest grey-hat operations pushing boundaries.
This is the one that should concern you.
Starting December 28, 2025, two IPs launched a methodical probe of 73+ LLM model endpoints. In eleven days, they generated 80,469 sessions—systematic reconnaissance hunting for misconfigured proxy servers that might leak access to commercial APIs.
The attack tested both OpenAI-compatible API formats and Google Gemini formats. Every major model family appeared in the probe list:
Test queries stayed deliberately innocuous with the likely goal to fingerprint which model actually responds without triggering security alerts.
The infrastructure behind this campaign tells us who we're dealing with:
45.88.186.70 (AS210558, 1337 Services GmbH): 49,955 sessions 204.76.203.125 (AS51396, Pfcloud UG): 30,514 sessions.
Both IPs appear extensively in GreyNoise data with histories of CVE exploitation: CVE-2025-55182 (React2Shell), CVE-2023-1389, and over 200 other vulnerabilities. Combined observations exceed 4 million sensor hits.
Assessment: Professional threat actor conducting reconnaissance. The infrastructure overlap with established CVE scanning operations suggests this enumeration feeds into a larger exploitation pipeline. They're building target lists.
Block these TLD patterns (580 unique domains observed):
SSRF campaign (top 3):
Eighty thousand enumeration requests represent investment. Threat actors don't map infrastructure at this scale without plans to use that map. If you're running exposed LLM endpoints, you're likely already on someone's list.
The full story
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