Malicious PDF — malware analysis report

Static analysis result for SHA-256 c731f5e6e971ecb8…

MALICIOUS

PDF

35.3 KB Created: 2020-08-24 05:11:30 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 6ca05a1f2910110aa5ed1196ba31cea2 SHA-1: 998a8972165c00a0723739936abc34fa414a70ef SHA-256: c731f5e6e971ecb8b69b05db00a62590bb1f69a865045a45bbfce93934ca1384
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 disguised as educational content. The document body, though heavily obfuscated, contains references to 'subject verb agreement worksheets 7th grade' and multiple URLs, including the malicious redirector and a large number of benign Shopify links, suggesting a link farm or SEO poisoning attempt. The primary malicious IOC is the redirector URL, which likely leads to further malicious content.

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=subject+verb+agreement+worksheets+7th+grade
    • http://pedetev.luciwheelchair.com/uploads/1/3/1/4/131482995/5bb429.pdf
    • https://cdn.shopify.com/s/files/1/0430/5856/1175/files/47533320793.pdf
    • https://cdn.shopify.com/s/files/1/0428/9839/1196/files/gipemetuwovomazanakasug.pdf
    • https://cdn.shopify.com/s/files/1/0428/9658/8967/files/95724892460.pdf
    • https://cdn.shopify.com/s/files/1/0434/6429/4557/files/gatikodozexiko.pdf
    • https://cdn.shopify.com/s/files/1/0436/1751/7725/files/49454685152.pdf
    • https://cdn.shopify.com/s/files/1/0431/4457/7185/files/personal_finance_jeff_madura_5th_edition.pdf
    • https://cdn.shopify.com/s/files/1/0433/5144/1562/files/lopafibalorizi.pdf
    • https://cdn.shopify.com/s/files/1/0437/3735/0309/files/skype_old_version_for_windows.pdf
    • https://cdn.shopify.com/s/files/1/0432/7096/3350/files/56553399353.pdf
    • https://cdn.shopify.com/s/files/1/0428/2908/6876/files/nagib.pdf
    • https://cdn.shopify.com/s/files/1/0440/8786/9592/files/rumabapis.pdf
    • https://cdn.shopify.com/s/files/1/0427/9956/2911/files/1095022656.pdf
    • https://cdn.shopify.com/s/files/1/0433/9430/2115/files/deep_learning_adaptive_computation_and_machine_learning_download.pdf
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/dokole.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_off00004a2a.bin
c2c0f778402dd1956573f4d45b7c1bfc30749ce54a0d29c80b6a80b5b960407d		 pdf-font-stream PDF embedded font (sfnt) at offset 0x4A2A 5936 bytes
font_01_sfnt_off00005e4d.bin
018d2d728335176242e48f7545e8f992f4d66d58179c797a257e611029786707		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5E4D 9916 bytes

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