Malicious PDF — malware analysis report

Static analysis result for SHA-256 658a19c9280a06c0…

MALICIOUS

PDF

45.6 KB Created: 2020-10-31 10:55:02 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-14
MD5: fde07736a9ab6729822b128408580c59 SHA-1: 8a90eede59d4c649eec84ec25392abdf9d8c8c1d SHA-256: 658a19c9280a06c04d80a4a8335f83b7f7e89c674d2047da66b251e149d95ba6
134 Risk Score

Malware Insights

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

The PDF contains a malicious redirector link, identified by the 'PDF_MALICIOUS_REDIRECTOR_LINK' and 'PDF_SEO_UTM_REDIRECTOR_LINK' heuristics. The ML classifier also strongly flagged this PDF as malicious. The embedded URL 'https://ttraff.com/123?keyword=is+proline+hydrophobic' is the primary indicator of malicious intent, likely leading to a phishing or malware download page.

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://ttraff.com/123?keyword=is+proline+hydrophobic In PDF document text
    • https://cdn-cms.f-static.net/uploads/4424933/normal_5f9c2fd8037c8.pdfIn PDF document text
    • https://bilimetib.weebly.com/uploads/1/3/4/4/134435282/286231.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/zetare/89930524128.pdfIn PDF document text
    • https://s3.amazonaws.com/vinivuxo/larousse_orthographe_les_indispensables.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/9650/5496/files/3167587798.pdfIn PDF document text
    • https://s3.amazonaws.com/dazemi/clases_de_espaol_para_extranjeros_material.pdfIn PDF document text
    • https://s3.amazonaws.com/didowugorokirug/passive_voice_in_english.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/9559/5933/files/lesson_15_vocabulary_sentence_completion_answers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/4118/4165/files/sutisafij.pdfIn PDF document text
    • https://s3.amazonaws.com/fujadabez/29300194549.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/9736/4926/files/12556101172.pdfIn PDF document text
    • https://s3.amazonaws.com/zirojopemup/lafozamubowitabolo.pdfIn PDF document text
    • https://s3.amazonaws.com/vuliwisuwig/adjustment_letter_format.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/7066/6905/files/mit_big_data_and_social_analytics_certificate.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_off000074d8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x74D8 5128 bytes
SHA-256: cb0afb25b5b36cf65b6ef3825635aad072a15183d58ab1335e8829bd08ed51d1
font_01_sfnt_off00008645.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8645 10608 bytes
SHA-256: f343d7a4768ad0e62c74149ebec6d4cf9aebea8e10ca5a2d04c17459b7005112