Malicious PDF — malware analysis report

Static analysis result for SHA-256 2626fa3fa9fdf9ae…

MALICIOUS

PDF

45.2 KB Created: 2020-08-16 22:51:04 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: e851677909218ca11eb04544a71b73a7 SHA-1: b5e76304336b9a590efcd65b4b41bb646f9077c5 SHA-256: 2626fa3fa9fdf9ae65278c06aee03e56fbaf6a4dd96a752234caeb6aed4737f7
154 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF document exhibits characteristics of a link farm or SEO poisoning attack, with numerous embedded links. One critical heuristic identified a link to known malicious redirector infrastructure at 'https://ttraff.ru/pify?keyword=hardware+platform+definition+and+examples'. The ML classifier also strongly indicated maliciousness. The document body contains text related to hardware platforms, likely a lure to attract users to click the malicious links.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

Heuristics 4

  • 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.
  • 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.ru/pify?keyword=hardware+platform+definition+and+examples
    • http://files.43water.com/uploads/1/3/0/7/130739658/bipep.pdf
    • https://cdn.shopify.com/s/files/1/0438/6521/1035/files/gilun.pdf
    • https://cdn.shopify.com/s/files/1/0432/8541/4056/files/banalofow.pdf
    • https://cdn.shopify.com/s/files/1/0428/8941/2764/files/gorejenomididexukubegogu.pdf
    • https://cdn.shopify.com/s/files/1/0431/5119/6315/files/98010281957.pdf
    • https://cdn.shopify.com/s/files/1/0438/6629/2389/files/93672901563.pdf
    • https://cdn.shopify.com/s/files/1/0429/5009/9100/files/norton_antivirus_for_pc_2018_free.pdf
    • https://cdn.shopify.com/s/files/1/0429/9459/8047/files/xufagenixivam.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_off000068c1.bin
534c26bcaa9aeb7d2e2d9275b2bbb00a9528b66d2bb0171da7c052662b8eb779		 pdf-font-stream PDF embedded font (sfnt) at offset 0x68C1 5308 bytes
font_01_sfnt_off00007acf.bin
2020dfe4a0168beacd44a2f1d1d2a5b067a80ddb779cc7583eba658e29acd278		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7ACF 14640 bytes

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