Malicious PDF — malware analysis report

Static analysis result for SHA-256 9a572e765bcbdefa…

MALICIOUS

PDF

48.1 KB Created: 2020-11-09 09:31:53 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-01-23
MD5: e731380a72743cc98275631ed44ae089 SHA-1: b117d679aff401eee62f6b1fe66d4f4575d29720 SHA-256: 9a572e765bcbdefa9e0edd31428afc7636a49a6dc1b2a7ad2812021fc9a4f0e2
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • 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://traffmen.ru/aws?keyword=lean+belly+breakthrough In PDF document text
    • https://givifajilodox.weebly.com/uploads/1/3/0/8/130874655/c5c208f337c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4384316/normal_5f9c1929be8dc.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://s3.amazonaws.com/sefipa/51298060464.pdfIn PDF document text
    • https://s3.amazonaws.com/jebokizez/english_literature_clep_study_guide.pdfIn PDF document text
    • https://s3.amazonaws.com/sirasu/22146817799.pdfIn PDF document text
    • https://buwuxutujejo943710116.files.wordpress.com/2020/11/transfer_letter_to_employee_from_employer_in_hindi.pdfIn PDF document text
    • https://suvulabam.files.wordpress.com/2020/11/15542362406.pdfIn PDF document text
    • https://s3.amazonaws.com/vatakefojunib/liniguvomaru.pdfIn PDF document text
    • https://s3.amazonaws.com/vavale/text_structure_meaning.pdfIn PDF document text
    • https://s3.amazonaws.com/sezebepit/56947170693.pdfIn PDF document text
    • https://s3.amazonaws.com/zetubakuz/led_tv_repair_in_allen_park_mi.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 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006816.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6816 4852 bytes
SHA-256: 8277270a9cc55f27bf5ac0fd034802bb13ff9fb7c573941f817fdb2fcd932f35
font_01_sfnt_off00007891.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7891 1800 bytes
SHA-256: 6d2a3a16cc464ce72cf05976c7f96a31c93af2202e0dc760c37a694345e222ee
font_02_sfnt_off00008121.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8121 10564 bytes
SHA-256: 4192564f852326d1f870ef11786807aa7e444e9c16141ef399cb65780e17e53b
font_03_sfnt_off0000a517.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA517 4324 bytes
SHA-256: b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c