Malicious PDF — malware analysis report

Static analysis result for SHA-256 c8a1cfdcc438d54a…

MALICIOUS

PDF

39.0 KB Created: 2020-08-07 21:59:19 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-07
MD5: 1a827a4120a274cfb025249584be5d4d SHA-1: 6b3dd05be3af9efb28e8a1c799abfb386f900053 SHA-256: c8a1cfdcc438d54ae39b535fb6dce84546eefaa98e81535e58a16eaba047a215
210 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF file contains numerous embedded links, with a critical heuristic firing for a malicious redirector. The document body, though heavily obfuscated, contains text related to Excel formulas and a URL that mirrors the malicious redirector. This suggests a social engineering lure to trick users into clicking the malicious link, which is likely part of a phishing or malware distribution campaign.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 7

  • 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.
  • Fake invoice / payment lure low SE_INVOICE_LURE
    Document contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
  • Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTON
    Document contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
  • 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=excel+formula+to+convert+number+to+words+in+rupees+pdf In PDF document text
    • http://files.rikabirdcreative.com/uploads/1/3/1/8/131872238/gevalos.pdfIn PDF document text
    • http://files.classroomcanberra.com/uploads/1/3/1/4/131438439/5138260.pdfIn PDF document text
    • http://files.zhou-jiang.com/uploads/1/3/2/6/132682585/tisaso_vasupep_pekitewabus.pdfIn PDF document text
    • http://files.pasinfonia.org/uploads/1/3/1/4/131407571/47705.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/1/0443/9523/3446/files/you_should_be_here_kehlani.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/3972/7521/files/92229482050.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/7723/7913/files/lologikomoja.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0439/3477/7499/files/gogaxililekewakeribufaxe.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/8669/3023/files/jabuwewesabedisuso.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/1632/2215/files/48743876738.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/8634/8450/files/72239482990.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/0974/4789/files/16498938099.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/0744/2072/files/zixezusukalegetovan.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/4375/7985/files/human_behavior_patterns.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_off0000596e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x596E 5616 bytes
SHA-256: ee23d1603d5fc408a1325a8a1e1557bf23a7fc4095d1a8cc4585da8caa6a8e21
font_01_sfnt_off00006c86.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6C86 10084 bytes
SHA-256: 4bf342adf9b4210d95b5f51cea77d2c27b747b12c25fe1d47efd6aa9d47f24b2

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