Malicious PDF — malware analysis report

Static analysis result for SHA-256 050001e14b6f429e…

MALICIOUS

PDF

36.2 KB Created: 2020-08-19 19:44:13 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-09
MD5: a4deb3b6521be7a24865eea518e3ab54 SHA-1: 4aa05e86cc49b7b6b21f6cf49d8058f0e7c28b91 SHA-256: 050001e14b6f429e4e3aa51fd3bc19a6779214839785ff33145bfef6fb99a299
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF file contains a link disguised as a datasheet that redirects to a known malicious infrastructure. This indicates a phishing attempt to redirect users to potentially harmful content. The ML classifier also strongly flagged this PDF as malicious.

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://ttraff.ru/pify?keyword=hilti+firestop+batt+datasheet In PDF document text
    • http://files.anonymityfilms.com/uploads/1/3/0/7/130775939/meripidupini.pdfIn PDF document text
    • http://xumuje.eyeslikemineinc.org/uploads/1/3/1/3/131383839/galoju.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://cdn.shopify.com/s/files/1/0429/8378/4601/files/2d_metal_carbides_and_nitrides_mxenes_for_energy_storage.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/9513/8208/files/30045394636.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/5481/7690/files/13241828962.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/7084/9181/files/33274544195.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/2469/4942/files/gifenikenubenali.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/7727/1706/files/45806496724.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0450/6501/1352/files/seepage_analysis.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0427/8091/7926/files/93915679702.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/8918/3398/files/metivagov.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/7731/1391/files/saziwepagow.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/1247/9382/files/31723469254.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/7483/7925/files/63445054129.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_off00004721.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4721 4912 bytes
SHA-256: 4a4de1f4352bd36061ecddd3170862142383d64bd6a4ca0a02a7c37f2e073112
font_01_sfnt_off000057d0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x57D0 8844 bytes
SHA-256: 50445195126d20150bcf09614aaf013ff5cd0047a3a6c64c5532c08cad5f7291
font_02_sfnt_off000075e9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x75E9 4324 bytes
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333