Malicious PDF — malware analysis report

Static analysis result for SHA-256 5bf4b10153ec01e5…

MALICIOUS

PDF

40.7 KB Created: 2020-09-23 18:41:48 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 73eaaf524dd317399100f8d064ec672c SHA-1: 72c94d53d77a0b3f3523c3b0b0c857ac582ed51a SHA-256: 5bf4b10153ec01e554a47c72dc6b0251b11eb03936ee14c445debb6dff5272c3
134 Risk Score

Malware Insights

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

The PDF contains embedded links that redirect to known malicious infrastructure, specifically a URL associated with a 'jimmy valentine question answer' keyword. This suggests a phishing or social engineering lure designed to entice users to click through to a malicious site. The ML classifier also strongly flagged this PDF as malicious.

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.
  • 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://ttraff.club/wix?keyword=jimmy+valentine+question+answer In PDF document text
    • http://nosiku.brandonrdavis.com/uploads/1/3/2/8/132815828/dakoji.pdfIn PDF document text
    • http://wenago.broadwaysupplystore.com/uploads/1/3/1/4/131483222/c627fd.pdfIn PDF document text
    • http://files.dmsmallengines.com/uploads/1/3/2/6/132681671/4491526.pdfIn PDF document text
    • http://files.journeybackancestry.com/uploads/1/3/0/9/130969254/sugomodolewiwobo.pdfIn PDF document text
    • http://files.coastalsilviculturecommittee.com/uploads/1/3/2/3/132303147/4a7e262366e75a.pdfIn PDF document text
    • http://vapafet.americanaprime.com/uploads/1/3/1/8/131857090/5218262.pdfIn PDF document text
    • http://depewej.racenterprises.net/uploads/1/3/0/7/130776138/tuzujojujukobizej.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/1/0432/1977/9742/files/17519072292.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/2318/7614/files/35666264251.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

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000061d5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x61D5 5200 bytes
SHA-256: 6f02257d31917052db60894b02adc201dfc6cba5a2b85d351068e0dd232a793f
font_01_sfnt_off0000738a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x738A 10380 bytes
SHA-256: 450c3dbe0b6464193f40c0b6ad5245a2b9665f366ba079421c518e014b53636b

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