Malicious PDF — malware analysis report

Static analysis result for SHA-256 e089bf754a71d17d…

MALICIOUS

PDF

42.2 KB Created: 2020-10-26 12:23:46 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2020-12-26
MD5: 4c1dd11c7087703a41912ecd1e699131 SHA-1: 1b9477e0192a3bef3eb83d0e7d836898f9b501e3 SHA-256: e089bf754a71d17d58ebc214011c98511be469b732a774e2455156f308e47884
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.link/pify?keyword=apple+ipod+nano+7th+generation+instructions In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366005/normal_5f86f955c6849.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4379230/normal_5f91efdfc0178.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365662/normal_5f8bb67e10cbb.pdfIn PDF document text
    • https://juporolo.weebly.com/uploads/1/3/1/3/131380745/7148739.pdfIn PDF document text
    • https://nikokabiliru.weebly.com/uploads/1/3/1/4/131409463/namajureponese.pdfIn PDF document text
    • https://natizupasa.weebly.com/uploads/1/3/1/4/131437725/vidukokosabe_vuxewopopazese_zexel_letawo.pdfIn PDF document text
    • https://buximinolid.weebly.com/uploads/1/3/1/3/131381316/b9611ca8e79.pdfIn PDF document text
    • https://pesadosopovito.weebly.com/uploads/1/3/4/2/134235692/2465621.pdfIn PDF document text
    • http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000065f7.bin)
    • http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000065f7.bin)
    • https://cdn.shopify.com/s/files/1/0496/6088/7203/files/48551418323.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0499/3466/3841/files/nitro_converter_free.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/0319/9138/files/gogigisoladavatafanitu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/3357/5075/files/18429856278.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/21f6dcef-ea67-4de3-a0e8-d5fd896ae483/43218178939.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0266/8488/3122/files/android_9_equalizer_apk.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/5642/5879/files/python_check_if_key_in_dictionary_case_insensitive.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/2207/2480/files/luloxoto.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/8837/0077/files/jevojofivekikemoxuzimot.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0500/4312/5917/files/diabetic_neuropathy_2020.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_off000065f7.bin)

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000065f7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x65F7 5404 bytes
SHA-256: 73c7de570f1a76236cce201e2070672307b0fb66e4d270e6498c7698ab37b6af
font_01_sfnt_off00007855.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7855 10360 bytes
SHA-256: 79d0520c8cfcb7303ccb0bc2fb3c855e7e3347e1020bee83eaac86845d8f3b0c