Malicious PDF — malware analysis report

Static analysis result for SHA-256 76c5a1c0441a0793…

MALICIOUS

PDF

41.2 KB Created: 2020-10-14 22:01:22 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 0f0606a95838c9832483fc554ff0021d SHA-1: ee563e1c9d5c45b02ed22da82c4dfa98bd925f1d SHA-256: 76c5a1c0441a07930f580a76a7fa22c1bd36dede4cc20dfde5e7dff19c518741
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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://ggtraff.ru/pify?keyword=wapking+movie+2020+bala In PDF document text
    • https://cdn-cms.f-static.net/uploads/4365580/normal_5f872c75b1bfd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365642/normal_5f870d05c5183.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366637/normal_5f872a6fad1f1.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365660/normal_5f8719817e3ef.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365619/normal_5f87086c4e88b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366022/normal_5f87015468390.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365583/normal_5f871bf84d2a1.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365642/normal_5f87110f54319.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365634/normal_5f87401131dec.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367279/normal_5f873851a9457.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366357/normal_5f873002703d4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365621/normal_5f86fee14df2a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366351/normal_5f870e7b9090e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365563/normal_5f8713cdf3911.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/1/0439/5276/7131/files/project_management_methodologies.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/8676/4446/files/real_life_elsa_dress.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/1954/1921/files/shangri_la_zombies_pack_a_punch.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/2433/4496/files/witikibumamipitiri.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/9477/7757/files/cloud_computing_conclusion.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/1035/4075/files/stimson_middle_school_crime_scene.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_off000062bf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x62BF 5416 bytes
SHA-256: 177111d67b30ff7d2874f00c22dd8fbaafa8144464373fd833e94a0e3a169a25
font_01_sfnt_off00007535.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7535 10152 bytes
SHA-256: 9ef21abdc6f1bbf7f1fd1832ec371a395ba64a752ca85dfeb6760ba8f2fd53d4