Malicious PDF — malware analysis report

Static analysis result for SHA-256 712fec019169503f…

MALICIOUS

PDF

44.9 KB Created: 2020-11-01 07:22:41 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: 08db8eccf47e309c07f3239533f8375d SHA-1: 7d23c196a8d42f2b91313a8a02fd3b835ba0a6d8 SHA-256: 712fec019169503f7589b6f44efdfc15511f67110541fed1f1232331e3b6a052
134 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains embedded links that point to a known malicious redirector infrastructure, identified by the heuristic PDF_MALICIOUS_REDIRECTOR_LINK. The document body, though heavily obfuscated, contains text related to 'Romeo and Juliet reading guide answers' and the malicious URL, suggesting a lure to trick users into clicking the link. The ML classifier also strongly indicated maliciousness.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • 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://cctraff.ru/aws?keyword=romeo+and+juliet+reading+guide+answers In PDF document text
    • https://cdn-cms.f-static.net/uploads/4394072/normal_5f9a4f76e0f9e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375340/normal_5f8e03a333d66.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4382408/normal_5f8e33e1eb029.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://uploads.strikinglycdn.com/files/fb3c6694-da08-4ba4-a18c-1c46fff7603a/bomokokuvafamimomofup.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/06014325-5168-453f-91c7-76396227522d/78903987834.pdfIn PDF document text
    • https://s3.amazonaws.com/didowugorokirug/yugioh_duel_links_apk__data_download.pdfIn PDF document text
    • https://s3.amazonaws.com/jiwisigetizoxif/intended_for_pleasure_summary.pdfIn PDF document text
    • https://s3.amazonaws.com/bugutaj/floor_seats_asap_ferg_sample.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f4ddcb97-41cd-428d-b956-a36a2a675f2b/40708066426.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a19d76e1-6a70-4f0f-b611-9630dfa890db/25481584739.pdfIn PDF document text
    • https://s3.amazonaws.com/zetare/fokiwizodunakafativeti.pdfIn PDF document text
    • https://s3.amazonaws.com/gezetega/jane_from_daria.pdfIn PDF document text
    • https://s3.amazonaws.com/kavitokolezub/29081720289.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/817d6fdb-3f04-4fc8-9aaf-cdd12a429a4d/fozokurawi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fefa69ea-fc0c-42c7-bb9d-4637fafae1db/xitovi.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_off00006406.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6406 5204 bytes
SHA-256: bd89229962141183659b47412e035b82bfd88fead9eb9aff7ca5a72311ad7790
font_01_sfnt_off000075af.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x75AF 10092 bytes
SHA-256: 228c2103f45368d42174903eb50b4ba59c24b218baa013c4915f0b73cf732ad2
font_02_sfnt_off0000984a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x984A 4324 bytes
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3