Malicious PDF — malware analysis report

Static analysis result for SHA-256 5b3284654537fa79…

MALICIOUS

PDF

50.4 KB Created: 2020-11-01 21:48:02 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: 870559b8498206ca9a80987b0dd6af57 SHA-1: 935b6e599e6278403f89862ac3b342afb4dc7452 SHA-256: 5b3284654537fa799e2d889c2791706eede87fd613fe0495567b5e585876cc6a
214 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains embedded URLs that redirect to known malicious infrastructure, specifically 'ggtraff.ru', which is flagged as a malicious redirector. The document body, though heavily obfuscated, contains references to this URL and other PDF links, suggesting a link farm or phishing lure. The ML classifier also strongly indicated maliciousness.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • 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.
  • 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.
  • 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/strik?keyword=missing+textures+fsx In PDF document text
    • https://cdn-cms.f-static.net/uploads/4383916/normal_5f8d83d10b2fc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369646/normal_5f9d4cfdc90aa.pdfIn PDF document text
    • https://femodufawo.weebly.com/uploads/1/3/4/3/134317846/4b87a4d0b9061a9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4377102/normal_5f8bace4f1ac8.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/1/0485/8439/2869/files/65162996621.pdfIn PDF document text
    • https://s3.amazonaws.com/wusone/excel_heat_map_graph.pdfIn PDF document text
    • https://s3.amazonaws.com/gixawetopoli/89381451543.pdfIn PDF document text
    • https://s3.amazonaws.com/mefadedosuw/nogutenagovob.pdfIn PDF document text
    • https://s3.amazonaws.com/gumagabu/61548487269.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/8697/8463/files/96447973720.pdfIn PDF document text
    • https://s3.amazonaws.com/taturi/boss_monster_play_store.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/rakunezeboka.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/4878/3010/files/91449783061.pdfIn PDF document text
    • https://s3.amazonaws.com/jubiferekaka/6865881286.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/8950/2110/files/adverbs_of_frequency_esl_library.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
    • http://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000669f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x669F 4764 bytes
SHA-256: d88c04341715de704301d9068815d61c09670589a7c9de7cbd5ef60cd524f09a
font_01_sfnt_off000076f1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x76F1 1800 bytes
SHA-256: a36eee06fef6ce219692c4ec918276ac99413e4fd1e3666e4031624f9289d620
font_02_sfnt_off00007f7e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7F7E 10832 bytes
SHA-256: fa2ee46558a6d9f2259d4c5c1164c9cec06775173ecc8adf1132090366e6076d
font_03_sfnt_off0000a4dd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA4DD 17088 bytes
SHA-256: c3e77ac0b2acc498de9ee5ca06f71d904bf26e7c5e19d19e08ea61438d8fbd0a