Malicious PDF — malware analysis report

Static analysis result for SHA-256 936a2fc5c8325986…

MALICIOUS

PDF

46.1 KB Created: 2020-10-16 14:36:12 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-06-20
MD5: 73921a5c94f86d9d315649b212c333ba SHA-1: d19cb1d526c103d0ed75e78565ddee542ae878c2 SHA-256: 936a2fc5c83259867af0b1230706eeea078c0042872952b04c361e99c9b5825a
154 Risk Score

Malware Insights

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

The PDF contains a heuristic firing for linking to known malicious redirector infrastructure, specifically pointing to 'gettraff.ru'. The document body, though heavily obfuscated, contains the same URL and appears to be a lure for a 'basic English book'. The presence of numerous Shopify URLs suggests an attempt to blend in with legitimate content, but the primary malicious URL is the most critical IOC. No scripts were extracted, but the PDF structure itself facilitates the malicious redirection.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • 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://gettraff.ru/123?keyword=libro+de+ingles+britanico+basico+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4369648/normal_5f88318d8fabb.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368471/normal_5f87d75c38709.pdfIn PDF document text
    • https://sepikupi.weebly.com/uploads/1/3/0/7/130738949/1245811.pdfIn PDF document text
    • https://guwomenod.weebly.com/uploads/1/3/0/8/130873843/lanadez.pdfIn PDF document text
    • https://popilezofale.weebly.com/uploads/1/3/1/1/131164236/c63c3386e.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/1/0436/9465/3595/files/short_story_contests_2020.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/6818/6015/files/all_new_electronics_self-teaching_guide_by_harry_kybett.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/1165/3279/files/melinuvefofigux.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/7006/2753/files/introduction_to_machine_learning_ethem_alpaydin.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0268/9010/9097/files/colorectal_cancer_nccn_guidelines.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/8077/7373/files/tipos_de_material_didactico.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/9567/8359/files/vegolokugoz.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/9377/7302/files/25294771550.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/8883/3440/files/att_insurance_claim_iphone_x.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/1008/7317/files/zenodatuvijonofazeraw.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0491/9364/8294/files/sutawavusedolanurodur.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/9304/1059/files/5e_druidic_focus_examples.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/8739/6004/files/arpspoof_apk.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/6780/8165/files/26912828207.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

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006722.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6722 5404 bytes
SHA-256: b2c2773e1152eb7f1ea3e9276e851c51e0c778d02268f49ac0962760ec8511e1
font_01_sfnt_off00007987.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7987 2092 bytes
SHA-256: 6e5de5c6bcb7fdd8c5ca0d25823a8f80e6c764803c1b732dbc9c425a5c0f8ea5
font_02_sfnt_off0000832d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x832D 11596 bytes
SHA-256: f81a5f83127a416b3b9ed56f2da04c953dd515b09dd32f3ae3aec2d69289eba6

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