Malicious PDF — malware analysis report

Static analysis result for SHA-256 d30f154f66333390…

MALICIOUS

PDF

43.8 KB Created: 2020-08-30 01:49:05 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: e89d84e03fd8ddd1dcf5812f97843ed4 SHA-1: cfa484c8265bddb5dc0b977eb053ff6be0d955ec SHA-256: d30f154f66333390ce3306b2131dab955358df36c1c1549d56f3b1ec293e212a
94 Risk Score

Malware Insights

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

The PDF document contains a prominent link within its body text that directs users to a malicious redirector. This redirector is associated with the distribution of pirated software, specifically a keygen for AutoCAD. The ML classifier strongly flagged this PDF as malicious, and the embedded URL is known to point to malicious infrastructure.

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.com/wix?keyword=xforce+keygen+autocad+2014+64+bit+free+download+windows+8.1
    • https://cdn.shopify.com/s/files/1/0430/5112/2842/files/68889679418.pdf
    • https://cdn.shopify.com/s/files/1/0429/9587/5989/files/seismic_data_analysis_yilmaz.pdf
    • https://cdn.shopify.com/s/files/1/0434/8493/8390/files/ashrae_1994_duct_fitting_database.pdf
    • https://static.usrfiles.com/ugd/9dda13_343dc0d98d2247fc81b966ee6babbd90.pdf
    • https://static.usrfiles.com/ugd/d94ae5_006bdbbb86c34df9be2e16107719a6eb.pdf
    • https://cdn.shopify.com/s/files/1/0435/8068/6497/files/pubojubapavoxor.pdf
    • https://cdn.shopify.com/s/files/1/0432/6499/9590/files/levane.pdf
    • https://static.usrfiles.com/ugd/b8c837_dc7aa24064ba448a99e040353308ca38.pdf
    • https://static.usrfiles.com/ugd/fa6f14_5001838104bc4d8e92d0f37894ebc8fe.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000575e.bin
56a7785b9295b4bade7afc9bb10a7892eaa162d3f6a4e93800409a5da5e87c82		 pdf-font-stream PDF embedded font (sfnt) at offset 0x575E 6240 bytes
font_01_sfnt_off00006cbb.bin
dfa1b460967782da048782a27dc73f6868215b061edb95431a253eb4b6e5ee61		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6CBB 12552 bytes
font_02_sfnt_off00009453.bin
9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2		 pdf-font-stream PDF embedded font (sfnt) at offset 0x9453 4324 bytes

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