Malicious PDF — malware analysis report

Static analysis result for SHA-256 80d796521f8f7374…

MALICIOUS

PDF

39.9 KB Created: 2020-11-03 03:58:08 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-04
MD5: 1b63dd4f22ec30612e9e4765a016e343 SHA-1: 758b70108a15611d1172db79c5e7b3fcfca36d32 SHA-256: 80d796521f8f73744a05bd62dec097babf81f721274665ea505846af00203c09
274 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1534 Credentials from Password Stores T1059.007 JavaScript

This PDF document is designed as a credential phishing lure, specifically targeting Apple ID credentials. It impersonates Apple and directs users to a malicious URL, 'https://ggtraff.ru/123?keyword=forgot+apple+id+apple', which is likely used for harvesting credentials. The document also contains a large number of links to other PDFs, potentially for SEO manipulation or to appear as a legitimate document repository.

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.
  • MFA / one-time-code harvesting lure high SE_MFA_LURE
    Document asks for a one-time code, authenticator approval, or MFA confirmation — consistent with credential phishing kits that steal session tokens or abuse multi-factor authentication
  • Brand-impersonation credential phishing lure high SE_BRAND_CREDENTIAL_PHISH
    Document impersonates a well-known consumer brand and uses account-security / verification language ('unusual activity', 'account on hold', 'verify your account') to steer the reader to a credential-harvesting link. Corroborated by: call-to-action link host does not match the impersonated brand: https://ggtraff.ru/123?keyword=forgot+apple+id+apple.
  • 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://ggtraff.ru/123?keyword=forgot+apple+id+apple In PDF document text
    • https://s3.amazonaws.com/xanebavifamopez/fedezadi.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/1/0498/6948/8280/files/state_of_georgia_vs_rick_allen_rick_and_morty.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/7934/3527/files/22535961368.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/9638/4689/files/casio_g_shock_3230_manual.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/4161/8082/files/the_kite_runner_study_guide_questions_and_answers.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c9484a12-01b5-4947-b601-07dfdd44f610/buy_honda_civic.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/2438/2634/files/6843042651.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0268/7424/9413/files/kenosinudamegezasewo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/6818/4994/files/43399099495.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/0784/2753/files/abilene_aisd_online.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 1

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_off00005f86.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5F86 4904 bytes
SHA-256: 0157f064a025469d9d9545a860b28abc84b4bab3c5f675b77fc10b0d6ceb23cc
font_01_sfnt_off00007049.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7049 10124 bytes
SHA-256: 50e925bfb78b7db3b871489d23169186d4ce6bd7df1c0259c8a8ea452141f098

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