Malicious PDF — malware analysis report

Static analysis result for SHA-256 b51a171d8b08132f…

MALICIOUS

PDF

44.4 KB Created: 2020-11-01 22:41:36 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: c25bddadc7b2a2fae4cbd0248dae300b SHA-1: 1865aeef8a56f635066cd6c82f23926f5856435f SHA-256: b51a171d8b08132f06b70e5ea19d3e3201a6785303e54bdd809fdb98c9f7be20
94 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF file was flagged by a machine learning classifier and contains a link to known malicious redirector infrastructure. The embedded URLs suggest an attempt to lure the user to a compromised or malicious site. While no scripts were explicitly extracted, the nature of the redirector link implies a potential download or further redirection to a malicious payload.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • 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://ttraff.link/123?keyword=antigone+questions+and+answers
    • https://vuguzakinizole.weebly.com/uploads/1/3/4/4/134493236/fb41d58831d2.pdf
    • https://cdn-cms.f-static.net/uploads/4383805/normal_5f996b5927968.pdf
    • https://cdn-cms.f-static.net/uploads/4404497/normal_5f925438a2fca.pdf
    • https://cdn-cms.f-static.net/uploads/4402289/normal_5f98fb176e740.pdf
    • https://danizodeker.weebly.com/uploads/1/3/4/5/134581754/6585075.pdf
    • https://cdn-cms.f-static.net/uploads/4380380/normal_5f9042561bdd4.pdf
    • https://cdn-cms.f-static.net/uploads/4414502/normal_5f97c13c82f43.pdf
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • https://s3.amazonaws.com/bidurudilidujug/gibberish_lyrics_max_backwards.pdf
    • https://cdn.shopify.com/s/files/1/0428/8996/9820/files/ma_lease_agreement.pdf
    • https://s3.amazonaws.com/lanorolowu/noxadofuzarut.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/
    • http://scripts.sil.org/OFL

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006dce.bin
db3316175e2d02d4db44556d37a5ba95d8ab799e521d60e43971ad71d8d0547a		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6DCE 5168 bytes
font_01_sfnt_off00007f7e.bin
1eb9b1605d1beb6860def910640686f0983896164c4622d6f23c9f338234af95		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7F7E 11076 bytes

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