Malicious PDF — malware analysis report

Static analysis result for SHA-256 c9c1934c081fc95c…

MALICIOUS

PDF

36.0 KB Created: 2020-08-15 12:33:41 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 1d21ea6e8a8d7f63cf4f84cbf32bbecc SHA-1: ae6cff3275956c09b36de77d861fe4d8703be426 SHA-256: c9c1934c081fc95c7b2225b93e857973317badc7f242ead51f6f049c05c9f83f
152 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, many pointing to Shopify domains, but one critical link directs to a known malicious redirector. The document body text, though partially corrupted, suggests a lure related to file conversion. The ML classifier strongly indicated maliciousness, and the PDF structure itself is flagged for containing a mass external link farm, likely for SEO manipulation or to distribute malicious content.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

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.cc/wb?keyword=como%20converter%20arquivo%20dwg%20em%20pdf
    • http://files.blackwoodratterriers.com/uploads/1/3/1/3/131380128/6950769.pdf
    • http://files.styleshades.com.au/uploads/1/3/1/3/131383486/c73d24.pdf
    • https://cdn.shopify.com/s/files/1/0429/3849/9235/files/32650351513.pdf
    • https://cdn.shopify.com/s/files/1/0428/4032/6300/files/jalivuziwadu.pdf
    • https://cdn.shopify.com/s/files/1/0430/1747/0101/files/38518250220.pdf
    • https://cdn.shopify.com/s/files/1/0434/6265/6166/files/adjectives_and_adverbs_of_manner_exercises.pdf
    • https://cdn.shopify.com/s/files/1/0432/1781/3661/files/juvosidilizesitamuduve.pdf
    • https://cdn.shopify.com/s/files/1/0430/9296/7581/files/12915041113.pdf
    • https://cdn.shopify.com/s/files/1/0437/6962/6781/files/98516650152.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_off00004eec.bin
1bb851ddc4fd1ce9589f3ea23d25aab5d8aabe27ceae5c5a9f4d7ffaed774e2c		 pdf-font-stream PDF embedded font (sfnt) at offset 0x4EEC 5448 bytes
font_01_sfnt_off00006166.bin
ebfb4670917bdf69f9f59b630f96e79cd3564409a090359f8f28cb29be1df29d		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6166 10040 bytes

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