Malicious PDF — malware analysis report

Static analysis result for SHA-256 78523e452a4af143…

MALICIOUS

PDF

43.3 KB Created: 2020-08-23 11:55:14 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-09
MD5: cd1892df005010039bfe795d1b4e38c9 SHA-1: 1998b258d2df78827d3e6b4011c0af6aff07196c SHA-256: 78523e452a4af143b8d857140ed2c19530471c11f2d9c32df1242a4f5f713628
194 Risk Score

Malware Insights

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

The PDF contains embedded links that redirect to known malicious infrastructure, specifically a redirector at 'ttraff.cc'. The document body, though partially obfuscated, includes the same lure text and URLs, indicating an attempt to trick users into visiting a malicious site. The ML classifier strongly supports the malicious verdict.

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.cc/pify?keyword=guided+tour+eiffel+tower+paris In PDF document text
    • http://foxot.splendidgh.org/uploads/1/3/1/3/131398140/soxagujusowagakenu.pdfIn PDF document text
    • http://files.mycousa.com/uploads/1/3/2/8/132814958/kulebek-rezorusozu.pdfIn PDF document text
    • http://files.andrewanddeannafriesen.org/uploads/1/3/0/8/130874691/8558651.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/9201/7305/files/59195860689.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/2893/0979/files/banana_fish_manga_espaol.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0464/5198/2504/files/nezogigeser.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/5557/1353/files/70644621978.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/0004/5469/files/juladeradafabakes.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/5308/8919/files/sugigowoxibujawugefafuwa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/1483/0749/files/android_tv_store.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/3161/6923/files/statistical_methods_for_spatial_data_analysis_schabenberger.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0440/4294/4677/files/namukavekinogezujinujir.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/2286/6837/files/javafx_sqlite_tutorial.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

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006b3a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B3A 5160 bytes
SHA-256: f1891545942fdab9a64feb0cefe0f7dacb1bc63813e05dbe21e1e4b18a12da54
font_01_sfnt_off00007ce9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7CE9 10284 bytes
SHA-256: 5116e8657489a50d7931cd713097cd33dc1272eb7ef815bd8c0ead573a2f7bea

Open this report in the interactive analyzer, or submit your own file for analysis.