Malicious PDF — malware analysis report

Static analysis result for SHA-256 bcd4bba9094ac0c9…

MALICIOUS

PDF

36.6 KB Created: 2020-08-29 16:29:19 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 313239838c2cef278f2434c210342921 SHA-1: 8e099756f18037583d224af6bd58f3c50d6dc65f SHA-256: bcd4bba9094ac0c9c8c866d612343210db8c46c27cf5a75ed319be6c9cca49b3
92 Risk Score

Malware Insights

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

The PDF contains a critical heuristic firing indicating a malicious redirector link to 'https://ttraff.cc/wix?keyword=verbos+irregulares+en+preterito'. The document body also contains this URL, suggesting it is the primary lure. The ML classifier strongly supports the malicious nature of this PDF. No scripts were extracted, but the presence of a malicious URL is sufficient to classify this as a malicious redirector.

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.
  • 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=verbos+irregulares+en+preterito
    • https://cdn.shopify.com/s/files/1/0433/1126/7990/files/19592349114.pdf
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/lonub.pdf
    • https://cdn.shopify.com/s/files/1/0432/0840/9250/files/mpx_game_god_of_war_3_android.pdf
    • https://static.usrfiles.com/ugd/9b7d8a_b6c0247c14f646a6b2bf37c5e8c7ee55.pdf
    • https://static.usrfiles.com/ugd/b8c837_17c8f6c4e40b4f0fa3f29c9311347c6c.pdf
    • https://static.usrfiles.com/ugd/b8c837_7337b047cace4f24a068a8c5ea9ac969.pdf
    • https://static.usrfiles.com/ugd/9ff9b8_e333f45edd754c1396b6411c9718ab65.pdf
    • https://cdn.shopify.com/s/files/1/0428/4642/1158/files/97604576144.pdf
    • https://cdn.shopify.com/s/files/1/0431/5440/7580/files/9758811833.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_off000050ad.bin
f893ff76fbde83272e1c39cdc72cb9a55f5030bd7af59d7d0d966813faa74b95		 pdf-font-stream PDF embedded font (sfnt) at offset 0x50AD 5092 bytes
font_01_sfnt_off00006208.bin
3ba336a57210149cdcebf27cc172a8db1d5882897d7162c8d83c47b517039380		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6208 10684 bytes

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