Malicious PDF — malware analysis report

Static analysis result for SHA-256 cac91730e157b753…

MALICIOUS

PDF

50.2 KB Created: 2020-10-15 14:09:32 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-06-20
MD5: 178f2bb81a6cbbe3893f386695b1d1ff SHA-1: 616cd401c1177a51daf11177ec7f88f016f57499 SHA-256: cac91730e157b75323ed9c259fb01006d1a6aa1398e0795966553a64debba3ce
124 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains multiple embedded links, with one specifically pointing to a known malicious redirector. The heuristic firings indicate this PDF is part of a link farm hosted on disposable infrastructure, designed to redirect users to malicious content. The ML classifier strongly supports the malicious nature of this PDF.

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 is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • 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.cc/pify?keyword=professional+java+server+programming+pdf In PDF document text
    • https://jeponiruwapin.weebly.com/uploads/1/3/0/7/130776483/fozojige-fagejo.pdfIn PDF document text
    • https://kuwofepex.weebly.com/uploads/1/3/2/7/132740654/3375228.pdfIn PDF document text
    • https://wopeduvolevim.weebly.com/uploads/1/3/0/7/130776212/xalutos.pdfIn PDF document text
    • https://dutitujazekap.weebly.com/uploads/1/3/0/8/130814390/sidobojugonuxexoz.pdfIn PDF document text
    • https://jovikuveditowe.weebly.com/uploads/1/3/0/8/130874612/7359067.pdfIn PDF document text
    • https://site-1043035.mozfiles.com/files/1043035/51411424762.pdfIn PDF document text
    • https://site-1036969.mozfiles.com/files/1036969/nazigesima.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367950/normal_5f87e98f2b0ec.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367308/normal_5f876ac1a5aac.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370525/normal_5f881693dfaea.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366036/normal_5f87744e2d49f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365567/normal_5f874aea3c764.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365620/normal_5f86ffea1fec9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366003/normal_5f87bcd782af3.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/cda695ea-c33e-4d91-9c2c-e5d47e1bbeba/81450953219.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3fa2bfb0-496c-40a9-998b-be950b10f942/zudumozad.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ccfab18d-80de-48e6-86fe-c41b455711b2/95453524936.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5a443ea2-008a-4046-ad72-de5fabe92418/25995328434.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_off000084b4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x84B4 5496 bytes
SHA-256: 4bf74174d34c805ab5f2f2a210ed03f215e8ca591821ab24f666ad21e509c479
font_01_sfnt_off0000975b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x975B 10744 bytes
SHA-256: 936367ea7f501aed1f762d90407a56e5aeae7a171fe23217c5b58571a630ac62

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