Malicious PDF — malware analysis report

Static analysis result for SHA-256 15159eb57fbfd431…

MALICIOUS

PDF

45.6 KB Created: 2020-10-08 17:00:01 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 2641db7f62d62055daa06ee323b19dfa SHA-1: 7505fc4848566b8ef9f7d9166898b9078b9e0d09 SHA-256: 15159eb57fbfd4310b34ffb0e761982b987d284d25434041c845ba32669b338a
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/pify?keyword=florida+nurse+practice+act+2019 In PDF document text
    • https://site-1038455.mozfiles.com/files/1038455/12497186227.pdfIn PDF document text
    • https://site-1043607.mozfiles.com/files/1043607/bonitudidezigorowe.pdfIn PDF document text
    • https://site-1043477.mozfiles.com/files/1043477/vurigimubefugug.pdfIn PDF document text
    • https://site-1039217.mozfiles.com/files/1039217/zuredewebinepelaxifo.pdfIn PDF document text
    • https://site-1038578.mozfiles.com/files/1038578/wijalixomeze.pdfIn PDF document text
    • https://site-1037125.mozfiles.com/files/1037125/givaselalifoviwixumerigej.pdfIn PDF document text
    • https://site-1039566.mozfiles.com/files/1039566/63908683948.pdfIn PDF document text
    • https://site-1037035.mozfiles.com/files/1037035/dadakesojatukaj.pdfIn PDF document text
    • http://files.sorenbendt.com/uploads/1/3/1/0/131071164/903486f4ae0.pdfIn PDF document text
    • http://files.mckaychurchsupply.com/uploads/1/3/0/7/130776757/b55f9b.pdfIn PDF document text
    • http://guweke.campbellscostarica.com/uploads/1/3/1/3/131381369/2076394.pdfIn PDF document text
    • http://mafine.thaireflexology.co.uk/uploads/1/3/1/6/131637279/4717221.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://cdn.shopify.com/s/files/1/0460/1967/4271/files/hp_black_licorice_15.6_15-f387wm_specs.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/6013/3529/files/kaprosuchus_saharicus_running_speed.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/8611/9079/files/88728797919.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/0317/7889/files/regents_prep_trig.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/2599/6698/files/android_sign_apk_with_platform_key.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_off000066d9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x66D9 5388 bytes
SHA-256: 66dc4df92e8de3b0a2d0b294135d5c4f2e08806f84b5eb9db0ac30ba8fad68e1
font_01_sfnt_off00007933.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7933 10008 bytes
SHA-256: 86d5aa49d222d49fe6872e756509a0e718b28ad11c6519251b57f19961810ed7
font_02_sfnt_off00009b6f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9B6F 4324 bytes
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333

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