Malicious PDF — malware analysis report

Static analysis result for SHA-256 8920aa7bb6f12c32…

MALICIOUS

PDF

44.8 KB Created: 2020-10-27 01:09:53 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-07
MD5: f77ec35f986eb5cd23deec75ce1e6d4a SHA-1: 0519d6b2657a1aea36d81f9a7ee5ef8b831083be SHA-256: 8920aa7bb6f12c32d80d7ed682497e8f8acca23eb456abbe75c41a18eb777483
154 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a large number of embedded links, many of which point to a link farm infrastructure. One prominent URL, 'https://gettraff.ru/strik?keyword=situated+cognition+theory+ppt', is identified as a malicious redirector. The document body, though heavily obfuscated, also contains this URL, suggesting an attempt to direct users to malicious content. The presence of numerous external PDF links further supports the link farm heuristic.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • 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://gettraff.ru/strik?keyword=situated+cognition+theory+ppt In PDF document text
    • https://cdn-cms.f-static.net/uploads/4367919/normal_5f8d44aa204bc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4405459/normal_5f93e708a7a97.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365657/normal_5f8f6160e8de7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365660/normal_5f8702e328285.pdfIn PDF document text
    • https://munerotilaxamo.weebly.com/uploads/1/3/4/4/134476206/368057.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4387699/normal_5f8d4054eddb6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366350/normal_5f9092a25e63b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4413004/normal_5f941b2681b04.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4381751/normal_5f8f655426070.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373509/normal_5f8e1e03d9b9a.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/9331/0631/files/33869410644.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0477/8803/2159/files/the_sword_of_doom_blu_ray.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/5478/7477/files/avoir_et_etre.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/7646/1759/files/giwawotina.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/8098/8310/files/paris_metro_tube_map.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0492/3870/4284/files/python_tensorflow_keras.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/0215/0557/files/gewonorusadaditekenero.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/9331/0631/files/pacman_download_for_android.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/3483/1779/files/70580246384.pdfIn PDF document text
    • https://s3.amazonaws.com/sabobenuwe/old_norse_mythology.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/71857820689.pdfIn PDF document text
    • https://s3.amazonaws.com/tadovu/68257608344.pdfIn PDF document text
    • https://s3.amazonaws.com/temujonuwu/suxisuduwubefavifama.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006f38.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6F38 5332 bytes
SHA-256: 6e92095e2571a3318c69d374d1b4c0682a2cad5676a78e250c92d75def3065b1
font_01_sfnt_off00008147.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8147 10680 bytes
SHA-256: bebccbbdb11d4c4ab9fb8b7921fa27f54468acdd3d3139b750230ffd24e90dbb

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