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Threat actors are posing as AI crawlers to hunt for exposed credentials

GreyNoise observed scanners spoofing AI crawler user agents from 824 IPs to harvest .env files and cloud credentials; no confirmed theft.

GreyNoise researchers found attackers disguising automated scanning as AI crawler traffic, using six crawler names from four AI companies including Anthropic's ClaudeBot, OpenAI, Google, and Perplexity. Between July 28 and August 23, 2026, the six names arrived from 824 IP addresses spread across 795 /24 networks that matched no published vendor ranges, shared one HTTP client fingerprint that had used more than 1,500 user agent strings, and never requested /robots.txt. The scanners targeted /.env, /.env.production, /.env.bak, and /.aws/credentials, hunting secrets, cloud access keys, private keys, and password stores, while forged Amazon crawler names appeared at greater volume under undocumented user agents. GreyNoise could not confirm whether any file was returned or any organization affected, and published all 824 addresses and targeted paths for defenders.

Help Net Security · 17d agoThreat actor

Patchwork Continues to Deliver BADNEWS to the Indian Subcontinent

Unit 42 details Patchwork APT campaigns against the Indian subcontinent using EPS exploits and an updated BADNEWS backdoor targeting Pakistani military and nuclear interests.

Unit 42 observed the Patchwork group (also known as Dropping Elephant and Monsoon) conducting campaigns against targets in the Indian subcontinent using weaponized documents that exploit CVE-2015-2545 and CVE-2017-0261. The documents deliver an updated BADNEWS backdoor that grants attackers full control of victim machines, using dead drop resolvers on legitimate third-party websites for C2 and HTTP for communications. Lures referenced Pakistan Army promotions, the Pakistan Atomic Energy Commission and the Ministry of the Interior, and in late January 2018 the group shifted from CVE-2017-0261 to the older CVE-2015-2545.

Palo Alto Unit 42 · Aug 17, 2026Threat actor in the wildCVE-2015-2545CVE-2017-0261