Malicious PDF — malware analysis report

Static analysis result for SHA-256 fa006c8bacf98307…

MALICIOUS

PDF

107.7 KB Authoring application: Skia/PDF m150 Google Docs Renderer First seen: 2026-05-25
MD5: af74693301d565c41fbf2aea031f97b7 SHA-1: 0af8c478982e473c9c5674dd924aff622b7fd31a SHA-256: fa006c8bacf9830760b88e0df3a84554d4feb986216bfeac19bac25d43d5792f
84 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains numerous repetitions of phone numbers and uses a callback lure, strongly indicating a phone scam. The embedded URL, while benign, is used in the context of the lure. No scripts were extracted, but the PDF structure and heuristics suggest a malicious document intended for social engineering.

Machine Learning

  • Nyx PDF Classifier clean score 0.0002

Heuristics 4

  • Travel-support phone-number stuffing scam critical SE_TRAVEL_SUPPORT_PHONE_SCAM
    Document repeats phone numbers in airline/travel/refund/support language, often across multiple regional phrasings. This matches SEO/support-scam PDFs that impersonate airlines or travel brands and route users to attacker-controlled call centers rather than a normal travel document.
  • Callback phishing phone lure medium SE_CALLBACK_LURE
    Document asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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://www.qatarairways.com?utm_source=chatgpt.com PDF link annotation

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_004_off0000c248.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0xC248 57244 bytes
SHA-256: 499efcfd6ade6f378ece5b23c3a84094fa7abede185b87ddbdb4c354223f392c
font_01_sfnt_off00013d2a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x13D2A 173616 bytes
SHA-256: b5116810e665cae342f4b6ba3618ee25b5246561744ea60946186a637702f357
font_02_sfnt_off00014969.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x14969 31660 bytes
SHA-256: 2f9b85efc6ea0aa09257513401dc1b34b2a0d680fc048665cac4f82a4ca8e18f

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