Malicious PDF — malware analysis report

Static analysis result for SHA-256 8d6a31f8a7288bac…

MALICIOUS

PDF

48.6 KB Created: 2020-08-29 17:23:23 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: b1100f65861ba109a927e5e5c513bb13 SHA-1: 2c62d246c1c58f14002a20286984c0e29fdbf933 SHA-256: 8d6a31f8a7288bacd72aa08ae1a14a7073072ee7b5448f6a8230fbfbdbf7e5f0
150 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.ru/wix?keyword=syndrome+de+douleur+p%25C3%25A9lvico+syndrome'. Additionally, another critical heuristic indicates a PDF link farm, suggesting a spamming or SEO abuse tactic. The ML classifier strongly supports the malicious verdict. No scripts were extracted, and the document body is heavily obfuscated, but the presence of the malicious URL is sufficient for a high-confidence assessment.

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.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • 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.ru/wix?keyword=syndrome+de+douleur+p%25C3%25A9lvico+syndrome
    • https://static.usrfiles.com/ugd/b8c837_c59f6c0eb37742cda4586de8e5ae4a8a.pdf
    • https://static.usrfiles.com/ugd/b8c837_d29235c1929843d69cb03509ddb847cf.pdf
    • https://static.usrfiles.com/ugd/921909_1059a78121b1429a8dc5cf53989b1c67.pdf
    • https://cdn.shopify.com/s/files/1/0431/1043/2929/files/commutative_ring.pdf
    • https://cdn.shopify.com/s/files/1/0435/3644/9690/files/xagakesefeg.pdf
    • https://cdn.shopify.com/s/files/1/0430/7327/4018/files/68403522105.pdf
    • https://cdn.shopify.com/s/files/1/0457/3167/6326/files/astm_a193_grade_b7.pdf
    • https://cdn.shopify.com/s/files/1/0427/9923/5228/files/67886785943.pdf
    • https://cdn.shopify.com/s/files/1/0439/7082/2302/files/solution_manual_for_artificial_intelligence_by_rich_and_knight.pdf
    • https://cdn.shopify.com/s/files/1/0428/9232/9116/files/geliw.pdf
    • https://cdn.shopify.com/s/files/1/0439/6577/6030/files/kapijelokabisuxipunasar.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/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00007b28.bin
46658755f6fcb5151e132ac4a97d5c08800df566ef94b3b8de0a496a46c13276		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7B28 5416 bytes
font_01_sfnt_off00008d3f.bin
e8a211dd42c71d418f3351972da6111da0caf83bbcdea2cc1c8505125af58ea8		 pdf-font-stream PDF embedded font (sfnt) at offset 0x8D3F 12196 bytes

Open this report in the interactive analyzer, or submit your own file for analysis.