Malicious PDF — malware analysis report

Static analysis result for SHA-256 56ad129afb55e153…

MALICIOUS

PDF

39.9 KB Created: 2020-10-30 04:43:17 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: 3b268ee9ae2fb2bbf0bf8d501e03ed7d SHA-1: 9acf4bcaee188e1a815e84907af85c64291deed6 SHA-256: 56ad129afb55e1537f819514348213faeb664dad8efb7b76ff4c4160bb8f312e
194 Risk Score

Malware Insights

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

The PDF contains numerous embedded URLs, with a critical heuristic firing for a malicious redirector link pointing to 'ttraff.me'. This, combined with a PDF SEO link farm heuristic, suggests a phishing or scam campaign designed to redirect users to malicious content. The ML classifier also strongly indicated maliciousness.

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/pify?keyword=azeroth+autopilot+commands In PDF document text
    • https://zipazoraxegav.weebly.com/uploads/1/3/4/3/134325660/zizunewal-rivuvewij-pemavav.pdfIn PDF document text
    • https://vodipewelo.weebly.com/uploads/1/3/1/6/131637384/7016128.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/jifesu/97981940911.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/5407/8871/files/part_of_speech_grammar_book.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/77eff29f-c984-4b39-bfbe-e1f77188c797/pubeg.pdfIn PDF document text
    • https://s3.amazonaws.com/laradusa/william_van_der_woodsen_fake_cancer.pdfIn PDF document text
    • https://s3.amazonaws.com/zifozujiwi/abbyy_transformer_plus_4._2._263.pdfIn PDF document text
    • https://s3.amazonaws.com/xanebavifamopez/jafekin.pdfIn PDF document text
    • https://s3.amazonaws.com/lejivugeleguwod/burke_county_schools_calendar_2016-17.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1469f867-9e95-4731-9b99-82e14a946496/pugikizukugidelatub.pdfIn PDF document text
    • https://s3.amazonaws.com/ritoma/nelulezamewoxavoredakora.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/540848215.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e749fd43-f97b-4264-b67d-47cac8fd137b/41596629171.pdfIn PDF document text
    • https://s3.amazonaws.com/sedimeraxufi/apk_mortal_kombat_4.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/254e3d58-aa93-48db-b650-1ab0300c6a85/80296417841.pdfIn PDF document text
    • https://s3.amazonaws.com/sugowubuf/auxiliary_verbs_elementary.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_off00005cc2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5CC2 5352 bytes
SHA-256: 6bd720a99e7fdc88f9f77801c99377cf58644e03ec164ae7ec4d6f6cb052bc8c
font_01_sfnt_off00006ed3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6ED3 10712 bytes
SHA-256: bd7061a06105d577117bac5ef23ab77f98b85df70ce27460410b612eebc5e77e