Malicious PDF — malware analysis report

Static analysis result for SHA-256 8e560155828cc772…

MALICIOUS

PDF

46.5 KB Created: 2020-04-05 13:14:20 +03:00 Authoring application: wkhtmltopdf 0.12.1.4 (via Qt 4.8.6)
MD5: 30c8096dd75319486e432140c8e43f5e SHA-1: a7920dbc32fabaa45a9ee2c1eba218457f91a928 SHA-256: 8e560155828cc772763957d9b40be0d4acf4c1010ee1021d2fada8c3f3ba88d0
94 Risk Score

Malware Insights

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

The PDF file was flagged by a machine learning classifier as malicious. It contains a large number of external links to other PDF files hosted on various domains, characteristic of a link farm. The primary purpose appears to be directing users to these external resources, which could be used for SEO manipulation or to host further malicious content.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9988

Heuristics 4

  • 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.
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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 http://balloonworxx.nl/uploads/1/3/1/4/131410606/131410606.html#bayesian+analysis+for+a+logistic+regression+model
    • http://kidswritersclub.com/uploads/1/3/0/6/130620584/8355569.pdf
    • http://opengiusergroup.com/uploads/1/3/0/3/130313826/balove_ditotatavobe_kipufixexezi.pdf
    • http://lrdlst.com/uploads/1/3/0/9/130969937/tivesojelakugas-tubaxifokaja-defafa.pdf
    • http://expresshuawei.com/uploads/1/3/0/6/130604372/ledumulazug-xivexuwetaguv-vevazivu.pdf
    • http://femmefatalebeauty.net/uploads/1/3/0/4/130436127/dogijuwuwatodus.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_off0000677c.bin
95b3231b1a097707f02f93171264abd031857763396fbc95c3916591440cb45d		 pdf-font-stream PDF embedded font (sfnt) at offset 0x677C 8780 bytes
font_01_sfnt_off00008950.bin
87cd1ee81411f8f8a769fb141052bc95d539f7af490724a19daf16611e83b10f		 pdf-font-stream PDF embedded font (sfnt) at offset 0x8950 3680 bytes
font_02_sfnt_off00009614.bin
0cfe4e93e3e1731518c4bd38f805f5d30adc29cd7227bdec1ee6f1b0f2f16ccc		 pdf-font-stream PDF embedded font (sfnt) at offset 0x9614 16404 bytes

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