Malicious PDF — malware analysis report

Static analysis result for SHA-256 62c6b9409f6a4758…

MALICIOUS

PDF

41.6 KB Created: 2020-08-25 10:46:24 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 92d625196e41488d259f18f4c9df4618 SHA-1: a86284c86a235a7882c1362e9871bf2d2b143ad3 SHA-256: 62c6b9409f6a4758cd835767e39b88750331ec956afa7b58579393b1b9ef3e07
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a lure related to a Schneider Electric catalogue, but the embedded links redirect to a known malicious redirector. The document body and heuristics indicate a link farm designed to funnel users to malicious content, likely for phishing or malware distribution. The ML classifier strongly indicates maliciousness.

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.com/pify?keyword=schneider+electric+acti+9+catalogue+pdf In PDF document text
    • http://files.goodandgraciousco.com/uploads/1/3/1/3/131383342/db365acd.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/1/0437/4721/3464/files/wevezuxuwefosemogi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/0357/5454/files/84375604661.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/5783/9254/files/9724613447.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/9168/7579/files/ios_13_beta_without_computer.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/9957/6733/files/gatiso_asma_ocupacional.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/5426/0633/files/69533091972.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/0141/3795/files/99952010915.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/xigidewepiwunabifaw.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/4233/2057/files/mathematics_for_machine_learning_marc_peter_deisenroth.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/0454/9544/files/tifr_question_papers_physics_with_answers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/7192/1571/files/79275412752.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/4634/5640/files/topisetoxu.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 4

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

Full JSON: related samples API

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000056d9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x56D9 5380 bytes
SHA-256: 00bd2db992c6f4634c568a69fe0ffe4584f99ff4c491772033ca28ebab137fa2
font_01_sfnt_off00006908.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6908 10016 bytes
SHA-256: 493fa81e8492b99e153844ca3f3c1ee20b19a81e0465012832283f7982e0e58c
font_02_sfnt_off00008b5b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8B5B 4324 bytes
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34

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