Malicious PDF — malware analysis report

Static analysis result for SHA-256 75da9ff9a095caa6…

MALICIOUS

PDF

70.5 KB Created: 2020-12-24 20:39:50 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-31
MD5: 45a693c285b0cb3a6a50b46436a14ae3 SHA-1: db67aa94e4ec2512b8785fc20e42279f90ad29a8 SHA-256: 75da9ff9a095caa6133d71e9517c8ba8edc7d0fdfcdd66b160ea604d37cbca50
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, identified as a link farm, directing users to potentially malicious domains such as 'traffmen.ru'. The ClamAV detection and ML classifier strongly indicate malicious intent, likely for phishing or distributing further malware. Although no scripts were explicitly extracted, the PDF structure and embedded URLs suggest an attempt to redirect users to harmful content.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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://traffmen.ru/aws?utm_term=alvida+yaara+alvida+song++pagalworld In PDF document text
    • https://cdn.sqhk.co/sononipo/iffhdhd/87060583166.pdfIn PDF document text
    • https://cdn.sqhk.co/jesuzedavoti/Bgfjdhd/lilog.pdfIn PDF document text
    • https://cdn.sqhk.co/vogidasobe/1ia6ii3/84765148729.pdfIn PDF document text
    • https://ragurukenawuxif.weebly.com/uploads/1/3/4/6/134667210/kibamo_zuxolasigotita_komekuken_mitesale.pdfIn PDF document text
    • https://cdn.sqhk.co/jomurozop/eidA4ja/fofumofuxutapedowikowenul.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://uploads.strikinglycdn.com/files/4d6df83e-2a3f-460f-a906-75df952e9bae/varedopuwudasuti.pdfIn PDF document text
    • https://s3.amazonaws.com/wixikarago/23762894730.pdfIn PDF document text
    • https://s3.amazonaws.com/boduxatavepe/riwatirivo.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/wamif.pdfIn PDF document text
    • https://s3.amazonaws.com/figugipopar/79601651517.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c9491bd7-2988-4730-bf6e-06f5d328c1eb/data_wing_pc.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c9cfd56a-e73c-4c31-87ca-22abafa173b2/literary_essay_mentor_texts.pdfIn PDF document text
    • https://s3.amazonaws.com/piwanisaj/nadebavuvixofepazolotofu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d00e4947-9455-4562-ae62-0f23bca549f2/sims_3_schmoozer.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000c93c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC93C 4960 bytes
SHA-256: 80df29477f49ab500697a5d9aad45e01f2765ca1beb50e725e9da3640047897c
font_01_sfnt_off0000da29.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDA29 10972 bytes
SHA-256: 805cd31f868b7e5188b1d31158e7ea33807f5d623d2e388d175920ccf85ddd75
font_02_sfnt_off0000ff45.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xFF45 4324 bytes
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e

Open this report in the interactive analyzer, or submit your own file for analysis.