Malicious PDF — malware analysis report

Static analysis result for SHA-256 ac4a81b589604afe…

MALICIOUS

PDF

39.3 KB Created: 2020-08-29 11:17:58 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 2e68d967ed5bbfd9f669e06658352808 SHA-1: 858a4cb504a542df9fe5a5cc91a249530a86a567 SHA-256: ac4a81b589604afebb03ef29d9690460254aa0f8a66a6f50740ef4c487737d66
152 Risk Score

Malware Insights

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

The PDF contains a link to a known malicious redirector, ttraff.cc, disguised as a tax-related document. The ML classifier strongly indicated maliciousness. The document body, though heavily obfuscated, contains the malicious URL and several benign-looking Shopify URLs, likely part of a link farm to obscure the malicious destination. The primary attack pattern involves social engineering through a deceptive document to trick the user into clicking the malicious link.

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.cc/wix?keyword=demande+de+rattachement+impot
    • https://cdn.shopify.com/s/files/1/0429/6795/7658/files/7397121198.pdf
    • https://cdn.shopify.com/s/files/1/0432/3311/6317/files/29918717223.pdf
    • https://cdn.shopify.com/s/files/1/0439/2484/8795/files/89620967509.pdf
    • https://static.usrfiles.com/ugd/b8c837_9bec7f00dfa645c18488ffa75b96729d.pdf
    • https://static.usrfiles.com/ugd/b8c837_4d54ad11e8584cbdb733ad4d6aea8d5c.pdf
    • https://static.usrfiles.com/ugd/b8c837_b3d1e5b9c4dc424298829ba826c98630.pdf
    • https://static.usrfiles.com/ugd/b8c837_e07d4dac6c58470da4d7a93ed202c461.pdf
    • https://static.usrfiles.com/ugd/b8c837_2f045f1f5c8348eeb9a5d24a90b7582d.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_off00005aa2.bin
c153ad60580caaac05fd4a690e5215ffa10954200c5a4226dec63fcea6eb4b24		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5AA2 5100 bytes
font_01_sfnt_off00006bc7.bin
96bc2d7556757c2747003a984247a3419bf56db870a69f870628a703e86449d8		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6BC7 11428 bytes

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