Malicious PDF — malware analysis report

Static analysis result for SHA-256 bbe85f9aeaba9940…

MALICIOUS

PDF

38.9 KB Created: 2020-09-03 07:50:02 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: fda9022a91aa41b2a2e17301a09a3191 SHA-1: 7945f5c9971a8d4f62bfc3c579aee231d245bb3b SHA-256: bbe85f9aeaba9940d661f161572b7f84efab3bb0694471592135f6ca81ecb402
92 Risk Score

Malware Insights

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

The PDF file was flagged as malicious by an ML classifier and contains a link to a known malicious redirector. The document body, though heavily obfuscated, contains text suggesting a lure related to a 'Whatsapp love story video song', likely intended to entice clicks on the embedded malicious URL. The primary attack pattern involves redirecting the user to a malicious site, potentially for phishing or malware delivery.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

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.ru/wix?keyword=whatsapp+love+story+video+song
    • https://cdn.shopify.com/s/files/1/0431/6351/7092/files/47269208977.pdf
    • https://cdn.shopify.com/s/files/1/0428/5782/4419/files/guidestone_funds_careers.pdf
    • https://cdn.shopify.com/s/files/1/0433/5396/4712/files/bihar_board_10th_result_marksheet_2003.pdf
    • https://static.usrfiles.com/ugd/b8c837_e7dbddfa047848c7ac3f1e2ab88e499b.pdf
    • https://static.usrfiles.com/ugd/1e32c2_c77ad10830b2475080c24341c2366f21.pdf
    • https://static.usrfiles.com/ugd/c1de29_3ae6619e7bfb44cbb78408b1cf133c84.pdf
    • https://cdn.shopify.com/s/files/1/0430/7763/2149/files/17700783036.pdf
    • https://cdn.shopify.com/s/files/1/0428/5068/0991/files/bajirao_mastani_movie_hd_quality.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_off00005a69.bin
ce39c3ea69ba23653f13b087a59020a36bcd649b05b942016516f59de7bb06c4		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5A69 5396 bytes
font_01_sfnt_off00006cda.bin
67d86615a76ffff3cf4bbb96c8f8ab9208a045641e2d06bfaee7065f4d6aba0a		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6CDA 10120 bytes

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