Malicious PDF — malware analysis report

Static analysis result for SHA-256 c2ea136faf92c692…

MALICIOUS

PDF

48.3 KB Created: 2020-08-24 10:51:18 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 8f8a078814a0381328e298514949e400 SHA-1: d11591881b4c6e30590c77ed5bf624ef5a668451 SHA-256: c2ea136faf92c6923fa1c7b6a42f4df6b7d66b7c5b5777c338dd54c6026b5298
120 Risk Score

Malware Insights

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

The PDF file contains numerous embedded links, with a critical heuristic identifying a link to a known malicious redirector. The document body, though heavily obfuscated, contains text related to 'Magnificent seven tv series episode guide' and includes the malicious URL, suggesting a lure to a phishing or malware distribution site. The presence of a link farm further supports the malicious intent.

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/pify?keyword=magnificent+seven+tv+series+episode+guide
    • http://wenokesip.simonbarnesfineart.com/uploads/1/3/1/4/131483281/nesajofiniw.pdf
    • https://cdn.shopify.com/s/files/1/0429/6045/3785/files/serum_protein_electrophoresis_patterns.pdf
    • https://cdn.shopify.com/s/files/1/0431/1128/4893/files/vujozekisotatawigabib.pdf
    • https://cdn.shopify.com/s/files/1/0429/3846/6467/files/voxamozadukejagopu.pdf
    • https://cdn.shopify.com/s/files/1/0431/9143/5422/files/ai_and_machine_learning_for_beginners.pdf
    • https://cdn.shopify.com/s/files/1/0427/6341/9814/files/revefup.pdf
    • https://cdn.shopify.com/s/files/1/0436/6788/2134/files/faxanex.pdf
    • https://cdn.shopify.com/s/files/1/0431/1236/6241/files/luxupovafiwewuvebudexenag.pdf
    • https://cdn.shopify.com/s/files/1/0434/9578/4600/files/chamma_chamma_dj_remix_pagalworld.pdf
    • https://cdn.shopify.com/s/files/1/0435/6302/4542/files/nijujajulivifu.pdf
    • https://cdn.shopify.com/s/files/1/0436/1604/3168/files/7405232004.pdf
    • https://cdn.shopify.com/s/files/1/0447/6128/4757/files/birth_asphyxia.pdf
    • https://cdn.shopify.com/s/files/1/0431/4526/5312/files/46413932554.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00007147.bin
41b84177fd07336b3aad71fcc91b23a74f4e79c0743cfed02f8e961f3ce891cf		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7147 5240 bytes
font_01_sfnt_off00008327.bin
12162d76aa9e2801d981d2ff640ab0fc640b4a208a23f7ece3907e1202640614		 pdf-font-stream PDF embedded font (sfnt) at offset 0x8327 10304 bytes
font_02_sfnt_off0000a66e.bin
ff5f0ef16caf3e97cd1984b3a03ea88e11eab8cf63d2ee006085a4b9995833f3		 pdf-font-stream PDF embedded font (sfnt) at offset 0xA66E 4324 bytes

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