Malicious PDF — malware analysis report

Static analysis result for SHA-256 72391fc58e39b5a6…

MALICIOUS

PDF

61.6 KB Created: 2020-08-24 04:33:34 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-09
MD5: b0f80c1d22b9a7667cec761e4cbbace4 SHA-1: b7cfab8a5aa2f6cda337abafa056ef7726291229 SHA-256: 72391fc58e39b5a64beee7f0204e2691aa1f310f247c155b07539d0ab1f62219
262 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1204.002 Malicious File T1059.007 JavaScript

The PDF contains numerous links to external resources, including a known malicious redirector, suggesting a phishing or malware distribution attempt. The document body, though heavily obfuscated, contains a URL that mirrors the malicious redirector, indicating a lure for potentially harmful content. Heuristics indicate the document is designed to trick users into installing browser extensions or updates, a common method for delivering malware.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 8

  • 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.
  • Password-protected archive handoff high SE_PASSWORD_ARCHIVE_LURE
    Document gives password instructions for an archive or attachment — often used to keep payloads encrypted until after gateway scanning
  • Browser extension / update installation lure high SE_BROWSER_INSTALL_LURE
    Document tells the user to install a browser extension, plugin, viewer, or browser update to view content — a common social-engineering path for credential theft and malware installation
  • Callback phishing phone lure medium SE_CALLBACK_LURE
    Document asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
  • SEO-redirector lure link (multi-word utm_term) low PDF_SEO_UTM_REDIRECTOR_LINK
    PDF contains a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the search-keyword gateway used by the 'free document download' phishing family. Surfaced as an IOC; on its own this is a low-confidence signal.
  • 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.cc/pify?keyword=free+antivirus++for+iphone+7 In PDF document text
    • http://files.kimbuckelewart.com/uploads/1/3/1/8/131871994/afb783e.pdfIn PDF document text
    • http://files.chitchattherapies.com/uploads/1/3/2/3/132302768/2936199.pdfIn PDF document text
    • http://files.pris-t-gis.com/uploads/1/3/1/4/131483266/mozejagagojivenebabu.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/1/0429/6366/5055/files/28628780976.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/6318/9412/files/bayes_theorem_conditional_probability_examples.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/1468/3815/files/3179394903.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/4977/1430/files/61477949177.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/8085/7253/files/leritajuf.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/0952/2339/files/74395613622.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0427/7298/8071/files/tigojajizefutijixajunib.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/3106/8823/files/xawewa.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 7

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_off0000b52f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB52F 5052 bytes
SHA-256: c4d8bf8e889b2a8a140b0b87cc0097bf5764ffb1b296056705a0e4b7e696e941
font_01_sfnt_off0000c668.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC668 10376 bytes
SHA-256: a90559f59310998e5560117bd3bcb0a43ff1edccecc76a951d9b5e326d7d87cf

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