Malicious PDF — malware analysis report

Static analysis result for SHA-256 389f5e7ec2cfc955…

MALICIOUS

PDF

48.2 KB Created: 2020-09-07 12:28:15 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: a930e5861ebc6daa6f13970f6ea73b46 SHA-1: d74affb3b62bd5ef3eb4b094c49a73efc540dfc1 SHA-256: 389f5e7ec2cfc9553a258c814d51e6f7b77052de72341ae8d177cb7c51c6ac7c
150 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.me, which is disguised with a keyword related to Korean dramas. The document body and embedded URLs suggest a link farm or SEO poisoning tactic to drive traffic to malicious sites. No scripts were extracted, but the primary attack vector appears to be social engineering via a malicious link within the PDF.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

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.me/wix?keyword=drama+korea+chasing+ball+sub+indo
    • https://static.usrfiles.com/ugd/0511f5_66eae898925449e9a27284ef531c3278.pdf
    • https://static.usrfiles.com/ugd/a44510_ce417e735d4844f4a4a8614e5a6844bd.pdf
    • https://static.usrfiles.com/ugd/b8c837_c63e815e773a4c7ea93a1fa3253f668e.pdf
    • https://cdn.shopify.com/s/files/1/0432/6467/1909/files/75070888696.pdf
    • https://cdn.shopify.com/s/files/1/0435/2697/9739/files/19604158257.pdf
    • https://cdn.shopify.com/s/files/1/0430/1350/5185/files/18121078215.pdf
    • https://static.usrfiles.com/ugd/585b1d_bc1e47e43503408f899ad8d8095df51c.pdf
    • https://static.usrfiles.com/ugd/b8c837_65e00add5f7e4f819b732a07367ea238.pdf
    • https://cdn.shopify.com/s/files/1/0430/6187/0746/files/salesforce_lightning_tutorial.pdf
    • https://cdn.shopify.com/s/files/1/0435/8720/7327/files/samidido.pdf
    • https://cdn.shopify.com/s/files/1/0434/0793/3603/files/lekanuzi.pdf
    • https://cdn.shopify.com/s/files/1/0440/7967/7590/files/uber_ride_history.pdf
    • https://cdn.shopify.com/s/files/1/0429/4190/7110/files/58210965403.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 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00004cb9.bin
90140d4cba8e3ae5ea1e1d8cb1f3dc3a259597e45d7dcccf81db123721d492f0		 pdf-font-stream PDF embedded font (sfnt) at offset 0x4CB9 3396 bytes
font_01_sfnt_off00005900.bin
a215a71a3ed08fc3553d3d0d00bf9bc5d286ac633d0b30f0d186bab8ec70051f		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5900 5556 bytes
font_02_sfnt_off00006bb4.bin
814776da65982893dd1016ab261ceaf206dddb35977d7a584f970cb8b3b7c8ff		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6BB4 16724 bytes
font_03_sfnt_off00009dd7.bin
1af57b935bdc32a401c3663ef95aca54f2b453abad18a8fd256e0b23091613aa		 pdf-font-stream PDF embedded font (sfnt) at offset 0x9DD7 16244 bytes

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