Malicious PDF — malware analysis report

Static analysis result for SHA-256 b064f41a18798d1b…

MALICIOUS

PDF

48.0 KB Created: 2020-09-09 08:42:51 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 00f6716a98d4cb4aceac7d4eaf94b9c1 SHA-1: c7a26f34523798524adaa03d63200f1d65515336 SHA-256: b064f41a18798d1be569f06c3c72bbd182036860098a14c090ac6ddb28b4e0a5
150 Risk Score

Malware Insights

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

The PDF contains a heuristic firing for a malicious redirector link, specifically pointing to a lure for "civil service maths test answers". This link is designed to redirect users to malicious infrastructure. The document also contains a large number of embedded links, many of which point to Shopify domains, suggesting a link farm or SEO manipulation tactic to distribute malicious content. The ML classifier also strongly flagged this PDF as malicious.

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.link/pify?keyword=civil+service+maths+test+answers
    • https://cdn.shopify.com/s/files/1/0428/7689/5388/files/zavepit.pdf
    • https://cdn.shopify.com/s/files/1/0430/6203/4589/files/android_17_model_kit.pdf
    • https://cdn.shopify.com/s/files/1/0461/6444/3299/files/windows_10_activation_product_key.pdf
    • https://cdn.shopify.com/s/files/1/0430/4466/7553/files/3d_anatomy_apk_pure.pdf
    • https://cdn.shopify.com/s/files/1/0430/7727/1713/files/33761275007.pdf
    • https://cdn.shopify.com/s/files/1/0439/4467/3448/files/37859595882.pdf
    • https://static.usrfiles.com/ugd/345929_d5e2de2c1a6849ddabb8c5905f87205e.pdf
    • https://static.usrfiles.com/ugd/b8c837_cebfd4218f284c44a4ef5ce093e729b0.pdf
    • https://static.usrfiles.com/ugd/3be3a7_2940ac357f7c4a9ba73e94267ac8ffe1.pdf
    • https://static.usrfiles.com/ugd/8de238_7c19af13411c4592a8777f195126f78e.pdf
    • https://static.usrfiles.com/ugd/440e29_9785fb42864f40a484da9dc24eccf80c.pdf
    • https://static.usrfiles.com/ugd/55e2c6_0a039754854b487aa50ecc7dcfb2886b.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_off000071ab.bin
e5914ccf05f55a7f140f41504959e46cd84a86619ea3cba4ca908656dba5747f		 pdf-font-stream PDF embedded font (sfnt) at offset 0x71AB 4892 bytes
font_01_sfnt_off00008227.bin
d6156ae6071abf4be75b8f9844c2fb052ea5349979de775bf7b6111407d6571a		 pdf-font-stream PDF embedded font (sfnt) at offset 0x8227 10240 bytes
font_02_sfnt_off0000a510.bin
9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2		 pdf-font-stream PDF embedded font (sfnt) at offset 0xA510 4324 bytes

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