Malicious PDF — malware analysis report

Static analysis result for SHA-256 f61c1e35831df2e6…

MALICIOUS

PDF

62.8 KB Created: 2020-10-25 06:16:57 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 47972498baa2b168cffd7030e0999cc6 SHA-1: 91ebbdad217eb5a336aaba9f6569c2ed6dd397d6 SHA-256: f61c1e35831df2e683a6f459e3a78742d096357edbd2babe5cad98936b3a4b11
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://ttraff.me/aws?keyword=anatomie+des+menschen+innere+organe+pdf In PDF document text
    • https://genigudepa.weebly.com/uploads/1/3/1/0/131070712/6023986.pdfIn PDF document text
    • https://romovemesokawaj.weebly.com/uploads/1/3/4/4/134479736/0d3241c.pdfIn PDF document text
    • https://fidevawane.weebly.com/uploads/1/3/0/8/130814252/499744.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4379841/normal_5f9046af18532.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4409096/normal_5f943382b0ca0.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4383574/normal_5f8ca1ae0587e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4409118/normal_5f94c9f86e79e.pdfIn PDF document text
    • https://xiletepegokif.weebly.com/uploads/1/3/4/3/134319576/liralenugafujam.pdfIn PDF document text
    • https://namunobuwuper.weebly.com/uploads/1/3/0/7/130776476/0399a0a.pdfIn PDF document text
    • https://dokakida.weebly.com/uploads/1/3/1/3/131380589/sazusi-sanuwodu.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off0000b367.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off0000b367.bin)
    • https://s3.amazonaws.com/temujonuwu/sciatica_exercises_spanish.pdfIn PDF document text
    • https://s3.amazonaws.com/memul/smooth_operator_bass.pdfIn PDF document text
    • https://s3.amazonaws.com/jutenojamega/avoir_et_etre_conjugaison.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/amie_examination_form.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/79655703254.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0497/5978/1023/files/domurevufigazegakegovigi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/1542/5176/files/natetuzonajetevidivoxaku.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0507/2565/0592/files/71278896906.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/6694/5447/files/89352535036.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0485/8763/6896/files/mamofijokupukobogorabugo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/7013/0838/files/28857435716.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0498/8603/6126/files/terukozebegulelorimi.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 extracted file (font_00_sfnt_off0000b367.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000b367.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB367 5528 bytes
SHA-256: db1e1c9820eaeea93a5c3fd9c0dc61b4ea3b58b18f13627fb5d2f7c1d6e9b198
font_01_sfnt_off0000c609.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC609 11584 bytes
SHA-256: 02ab14cabbd81468d95eb11def1cc34c2dba377703259818b9755f447a2035c7