MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a link farm designed to redirect users to malicious infrastructure, specifically identified by the critical PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The primary malicious URL is https://ttraff.com/wb?keyword=hsk%204%20vocabulary%20list%202019%20pdf. While many other URLs point to benign Shopify domains, the presence of the redirector indicates a malicious intent to lead the user to a harmful site. No scripts were extracted, and the document body is heavily obfuscated, but the overall pattern suggests a phishing or redirection attack.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF 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.
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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall 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.
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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF 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.
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe 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.
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Embedded URL info EMBEDDED_URLOne 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/wb?keyword=hsk%204%20vocabulary%20list%202019%20pdf In PDF document text
- http://files.jamesvandenburg.com/uploads/1/3/2/3/132302963/4d885a59.pdfIn PDF document text
- http://files.mgdinglegbhughescollection.com/uploads/1/3/2/6/132696030/9eeab5d87b.pdfIn PDF document text
- http://files.ncwattorney.org/uploads/1/3/0/7/130775371/cd2cb027fa4e.pdfIn PDF document text
- http://files.womanite.org/uploads/1/3/1/4/131453402/1111468cc6dd4.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/1/0433/6461/4303/files/21713395870.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4672/2974/files/47061817635.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0454/3338/9214/files/energias_alternativas_en_venezuela.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0480/3746/files/quality_assurance_and_voluntary_accreditation.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8029/4298/files/good_english_grammar_book_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6141/9927/files/lubesawamomarebenitik.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1425/0905/files/audit_case_study_questions_and_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/7430/3640/files/download_cydia_ios_8._3.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9979/1268/files/banshee_350_twin.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8001/5262/files/78488544627.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4469/9288/files/36385860966.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7185/6026/files/tuvezetuzolibi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6245/9544/files/50114054127.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.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000910f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x910F | 39476 bytes |
SHA-256: e044afd71c794a9cf6519a850d240a31aa04d2803f8d804fdb66bedbfb1e2cd8 |
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font_01_sfnt_off00010966.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10966 | 6044 bytes |
SHA-256: 1e74ce7804a6f90450e49492fe3ea93686a5ba33bbb1e1be6af4af5cdbe5de61 |
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font_02_sfnt_off00011e10.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x11E10 | 17748 bytes |
SHA-256: 44e857761b6085c217e74779cb78836fead0ac840ad51c5674a71f1cb8c609e1 |
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