Malicious PDF — malware analysis report

Static analysis result for SHA-256 f50787fd1d219eed…

MALICIOUS

PDF

94.4 KB Created: 2020-08-29 12:20:27 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: eebf1fc3b5b979f0c8e0baec7ac31916 SHA-1: be4012d2edbea0dbe1b82a43051197f8be4d8ce1 SHA-256: f50787fd1d219eed8e1746bd75ef38f3c67ac988a9cf420a0d7a3fde1f224bf8
152 Risk Score

Malware Insights

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

The PDF was flagged by a machine learning classifier and contains numerous embedded links. One of these links, 'https://ttraff.ru/wix?keyword=grade+1+kanji', points to a known malicious redirector. The document body, though heavily obfuscated, also contains this URL, suggesting it is a primary lure. The presence of a large number of external PDF links, many hosted on shopify.com, indicates a potential SEO manipulation or link farm strategy.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9996

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/wix?keyword=grade+1+kanji
    • https://cdn.shopify.com/s/files/1/0434/4047/2229/files/segobekujenapedimo.pdf
    • https://cdn.shopify.com/s/files/1/0447/4689/9607/files/21975910628.pdf
    • https://cdn.shopify.com/s/files/1/0448/5431/3122/files/nanobile.pdf
    • https://cdn.shopify.com/s/files/1/0437/7749/1093/files/belt_conveyor_parts.pdf
    • https://cdn.shopify.com/s/files/1/0430/3775/3493/files/captivi_plautus.pdf
    • https://static.usrfiles.com/ugd/b8c837_c89aa5002c7c46979440d512f1b8fc82.pdf
    • https://static.usrfiles.com/ugd/b8c837_fa68f29a67f24bb393383657240e67a0.pdf
    • https://cdn.shopify.com/s/files/1/0434/0383/7591/files/junoxokopuno.pdf
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/dekafarisajanitid.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_off00007839.bin
95f66ab9d81e1852846516f3e84ef8f04bc266c311f141fbe792da5e25e2b549		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7839 62628 bytes
font_01_sfnt_off0001323c.bin
f3e258ff1837d0ba0116d2f40585e39d6a412c303ab2fcce7165d8e85967c9f6		 pdf-font-stream PDF embedded font (sfnt) at offset 0x1323C 4832 bytes
font_02_sfnt_off000142d1.bin
e0ab457074c5702b7947dd19ceb0fdaa2be3d979be45f1d110e8ffd777309e2b		 pdf-font-stream PDF embedded font (sfnt) at offset 0x142D1 13436 bytes

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