Malicious PDF — malware analysis report

Static analysis result for SHA-256 cb51307a2e0ab76f…

MALICIOUS

PDF

46.8 KB Created: 2020-10-03 08:57:47 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-19
MD5: cd5ac4f9e0dbd3cf3bb8360865b16ffd SHA-1: 7c2e49eab88588191a47ad7598b4e0f04f381edf SHA-256: cb51307a2e0ab76f7d5b440a0c86d420b3c829235381d871780d3c39ffbb9c14
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://ggtraff.ru/strik?keyword=internal+promotion+interview+questions+and+answers In PDF document text
    • http://files.ell-lady.com/uploads/1/3/1/1/131163620/3983935.pdfIn PDF document text
    • http://files.friendsofthefergusonforest.ca/uploads/1/3/1/4/131407980/siref.pdfIn PDF document text
    • http://xesuda.maryqueenofireland.com/uploads/1/3/2/8/132814930/wizizala_fopupobilirisi.pdfIn PDF document text
    • http://files.groovygurugranola.com/uploads/1/3/0/7/130739265/5309636.pdfIn PDF document text
    • http://files.mccaughanpublishing.com/uploads/1/3/1/6/131637483/1780274.pdfIn PDF document text
    • https://site-1036955.mozfiles.com/files/1036955/xowofilepamisejinakekobaz.pdfIn PDF document text
    • https://site-1037000.mozfiles.com/files/1037000/82951106812.pdfIn PDF document text
    • https://site-1037098.mozfiles.com/files/1037098/57808344065.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/1/0437/7536/1185/files/58240987118.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/1911/1070/files/wuwerat.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/5663/9383/files/xibaxelovitiwododivopu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/4548/9317/files/43734284641.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0459/6534/4935/files/multiplication_chart_goes_up_to_30.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0427/5752/1574/files/alita_battle_angel_streaming_netflix.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/7291/6118/files/biwixodigelixifutubog.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0460/6948/1636/files/georgia_tech_korean.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/9058/3464/files/common_gnome_names.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 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000077d0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x77D0 5320 bytes
SHA-256: b72dc2a1487f51360e70950d7ddf2d79d757ddfcd3a74ec36f8b79e7af58946e
font_01_sfnt_off000089dd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x89DD 10376 bytes
SHA-256: 974a768bbaa5ca79755e0844b497f2c9875364daad2554efb2d96d2759fe765f