This hunt targets UNC1549’s strategy of embedding malicious indicators within deceptive PDF documents that mimic legitimate job offers to trick users into executing malware. Proactively hunting for these specific file artifacts in Azure Sentinel is critical to intercept initial access attempts before they compromise endpoints through social engineering vectors.
rule SUSP_Nimbus_Manticore_PDF_Indicators_May26 {
meta:
description = "Detects inidcators found in PDF files created by Nimbus Manticore (UNC1549). The PDF files usually contain fake job offers or descriptions to lure victims into installing malware."
author = "Jonathan Peters (Nextron Systems)"
date = "2026-05-25"
reference = "https://www.nextron-systems.com/2026/06/01/detecting-nimbus-manticore-and-their-sideloading-infection-chains/"
hash = "620c51f4376cb79f0109c21971c28661418ae50b119585e3ffdb8011189fcb7b"
score = 70
strings:
$op = { 3C 3C 2F 41 75 74 68 6F 72 28 4A 65 72 72 79 29 20 2F 43 72 65 61 74 6F 72 28 FE FF 00 4D 00 69 00 63 00 72 00 6F 00 73 00 6F 00 66 00 74 00 AE 00 20 00 57 00 6F 00 72 00 64 00 20 00 4C 00 54 00 53 00 43 29 }
condition:
1 of them
}
This YARA rule can be deployed in the following contexts:
This rule contains 1 string patterns in its detection logic.
Here are 3-5 specific false positive scenarios for the Nimbus Manticore (UNC1549) detection rule, including suggested filters and exclusions:
Legitimate HR Recruitment Campaigns
hr.company.com) or specific SMTP senders (e.g., [email protected]). Additionally, exclude any PDF where the Creator metadata field explicitly contains “Workday” or “Greenhouse” instead of “Nimbus Manticore.”Automated Document Generation by Power Automate
Power Automate service account (e.g., [email protected]) and filter out any detection where the file creation timestamp falls within the defined maintenance window (e.g., 02:00–04:00 UTC) on weekdays.Internal Knowledge Base Updates