Malicious PDF — malware analysis report

Static analysis result for SHA-256 2a5c853adc2d303a…

MALICIOUS

PDF

38.6 KB Created: 2020-09-02 22:43:30 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: bc969ace080d56e611504f5c0b6a8c2a SHA-1: 1c83c4592914059da40444c5c6efb7e52b51c252 SHA-256: 2a5c853adc2d303a30465e57f3389133f3b40e5bca3964a31f14cedf6b2f815e
150 Risk Score

Malware Insights

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

The PDF contains a high number of embedded links, many pointing to Shopify domains, but one critical link redirects to a known malicious domain (ttraff.com). The document body, though heavily obfuscated, contains the same search query as the malicious URL, indicating a lure. The ML classifier also flagged this PDF with high confidence.

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.com/wix?keyword=speech+to+text+google+sheets
    • https://cdn.shopify.com/s/files/1/0449/0254/7611/files/cause_and_effect_relationship_exercises.pdf
    • https://cdn.shopify.com/s/files/1/0437/6189/3533/files/bass_guitar_tuner_application.pdf
    • https://cdn.shopify.com/s/files/1/0432/5824/9376/files/46052714415.pdf
    • https://static.usrfiles.com/ugd/81ef4b_42913903996f43259ca624ceff5d36a8.pdf
    • https://static.usrfiles.com/ugd/f09a9d_509d031c42b443ffa930bfa5914c2dc5.pdf
    • https://static.usrfiles.com/ugd/724bd4_9f7b77fc7e3645f6a0b1f9c68c0cbb5c.pdf
    • https://static.usrfiles.com/ugd/de60da_94e2b35d627a4d7c950d7d8aac02b768.pdf
    • https://cdn.shopify.com/s/files/1/0433/3069/9414/files/lutozarulakifiz.pdf
    • https://cdn.shopify.com/s/files/1/0431/4585/5137/files/69822608538.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_off00005a34.bin
f2f87bbbfc0790340fefa6df4036233079d15465c6d9fd7b3304016b28f636b9		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5A34 5060 bytes
font_01_sfnt_off00006b79.bin
395dad7dd5e99d4d0b62c5d0c98b5e7a1c8e7edf854d90fe6c1aec78313e5be7		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6B79 10192 bytes

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