Malicious PDF — malware analysis report

Static analysis result for SHA-256 b10f8a99acf6d15e…

MALICIOUS

PDF

105.8 KB Created: 2026-05-21 16:38:54 +00:00 Authoring application: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/143.0.0.0 Safari/537.36 (via Skia/PDF m143) First seen: 2026-05-28
MD5: 5259f68a966364dfd757d8d936e608c6 SHA-1: f94feb6dfa26f5304a923fbe8cc8236a2426e41f SHA-256: b10f8a99acf6d15ea8954f63b22397ddfbb4aa98788ec9720bd1274725c26b7d
112 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

This PDF document employs a common phishing tactic by presenting an image lure, hiding clickable links within it. The heuristic firings indicate that these links are designed to redirect the user to a secondary site, 'rainbow-auslink.site', which is likely hosting a malicious payload or phishing page. The ML classifier also flagged this document as malicious.

Machine Learning

  • Nyx PDF Classifier malicious score 0.8115

Heuristics 3

  • Invisible/repeated PDF links deliver payload file critical PDF_REPEATED_PAYLOAD_LINK_LURE
    PDF uses invisible link annotations and points to a direct payload download. Repeated invisible links or lure-like payload names such as document/unlock/verify archives match malware-delivery PDF carriers where the page is only a prompt and the real payload is fetched from the linked URL.
  • Image-only document with action trigger (screenshot lure) medium PDF_IMAGE_LURE
    PDF has 1 image(s), only 0 text block(s), carries a click-outward action, and is only 105 KB — typical shape of a phishing lure where a full-page screenshot hides a clickable button that launches or submits to an attacker URL.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://panarmenian.net/eng/tofv?tourl=https://rainbow-auslink.site/docbase/index.php?email=agnes.quansah@perseusmining.com In PDF document text

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
icc_00_off00000181.icc pdf-icc-profile PDF ICC profile at offset 0x181 536 bytes
SHA-256: d9f822e8083f2f4d1c91e887454be5f75e8c7144b2853408f361e3c4a7a6b36d