Malicious PDF — malware analysis report

Static analysis result for SHA-256 1911a34848f6f3f6…

MALICIOUS

PDF

101.3 KB Created: 2020-10-24 21:32:40 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-22
MD5: 02a74db728dee89d75b549d84aedd37a SHA-1: 7ca5197b93c963f85433df3cb673c48b86454b85 SHA-256: 1911a34848f6f3f68d7d480aa472a5af0466f2be994214de4a575adb7851d4ef
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://gettraff.ru/wb?keyword=contaminacion%20ambiental%20semarnat%20pdf In 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/1/0428/9737/5388/files/lamimejej.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0495/4721/5000/files/kasud.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/5417/7185/files/scratch_pad_for_android.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/6342/7751/files/snaptube_apk_for_ios_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/0152/0023/files/stone_cold_lyrics_karaoke.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7b08557c-e4b7-4ce9-843d-68b3839f4f04/25325813845.pdfIn PDF document text
    • https://s3.amazonaws.com/ladojenefe/corazon_diario_de_un_nio.pdfIn PDF document text
    • https://s3.amazonaws.com/mibiwivanetuj/bakamelu.pdfIn PDF document text
    • https://s3.amazonaws.com/pazifetanegapu/69076581275.pdfIn PDF document text
    • https://s3.amazonaws.com/gedimuta/monitoring_and_evaluation_free_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/3374/1480/files/eso_essence_of_ravage_health_invisible_defile.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/5025/3984/files/hettich_hinges_catalog.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a2f3e38e-bdf5-47d4-b7d9-9a358824d2ba/48849337969.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2865b2d8-5a58-47e8-b535-594aa1abccd7/zuzavojarojenijegosifoti.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1b3b1bfb-3e3e-4ed4-a46b-3168a380702f/10368048019.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9ce7cf14-c021-4f47-be09-2eb01feb12aa/82879134140.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0486/1260/6120/files/binitapoxefuwimowe.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0503/1411/7293/files/coffee_grinder_manual_uk.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_off00014dec.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x14DEC 5344 bytes
SHA-256: ad26ed64ddc7ca5b991296fc381743ec8921acd32096dc658790c61f6e03a98e
font_01_sfnt_off00015ff5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x15FF5 11772 bytes
SHA-256: f5641fd6a123280eca16d424a643b9716da108ab2a87f21b4170909c87d7d1cb