Malicious PDF — malware analysis report

Static analysis result for SHA-256 d019e22f5ac4b085…

MALICIOUS

PDF

52.2 KB Created: 2020-08-28 06:09:41 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 53b77998f12254f9c8aec0e25bbec135 SHA-1: 89d13f3adddbc923b915e5ad1195de0078d48a12 SHA-256: d019e22f5ac4b08595ff8456fd9c20313383d726cd13cf568e9279bd817476e7
120 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, which is likely used to direct users to a malicious site. The document body, though heavily obfuscated, contains the string 'Payday 2 breakin feds' and the malicious URL, suggesting a lure to a scam or phishing page. The PDF also contains a large number of embedded links, many pointing to Shopify, which is characteristic of SEO link farm abuse.

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.cc/pify?keyword=payday+2+breakin+feds
    • http://pogor.pilatesscience.org/uploads/1/3/0/9/130969959/nanowiwomafenakuru.pdf
    • http://files.sewaneerealty.com/uploads/1/3/0/7/130739699/wonixuzef-xozamiwo-wowuniboro.pdf
    • http://pezufiben.handwarmers.com/uploads/1/3/1/3/131379578/ca463416.pdf
    • https://cdn.shopify.com/s/files/1/0447/2481/3977/files/pdf_approximation_matlab.pdf
    • https://cdn.shopify.com/s/files/1/0446/0825/8211/files/bikini_body_guide_free_download.pdf
    • https://cdn.shopify.com/s/files/1/0432/3724/5086/files/84357420564.pdf
    • https://cdn.shopify.com/s/files/1/0430/9352/4637/files/lezonurarifanekanateborek.pdf
    • https://cdn.shopify.com/s/files/1/0430/4545/3985/files/platform_perches_for_birds.pdf
    • https://cdn.shopify.com/s/files/1/0430/8451/3444/files/32938326737.pdf
    • https://cdn.shopify.com/s/files/1/0434/0560/7079/files/what_is_the_latent_learning_theory.pdf
    • https://cdn.shopify.com/s/files/1/0431/7341/3032/files/alaipayuthey_mobile_ringtone_free.pdf
    • https://cdn.shopify.com/s/files/1/0450/3057/2190/files/48408479605.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_off00007755.bin
3a6c860f99d29d92cc76611f9624ea218dd84b758bcd264f1d978182e3d00205		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7755 5308 bytes
font_01_sfnt_off00008978.bin
fc057aaa265e3a8a4947735c974b3f8e0ed3b392119fbedf4dbf3656c0f840a6		 pdf-font-stream PDF embedded font (sfnt) at offset 0x8978 10664 bytes
font_02_sfnt_off0000ae31.bin
f59222a3ac12a004ff9d0e1604d916e53fe7b73bc06fce9f7e18093f8ec97e35		 pdf-font-stream PDF embedded font (sfnt) at offset 0xAE31 16400 bytes

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