MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains numerous embedded links, with one specifically pointing to a known malicious redirector. The document body text, though partially corrupted, includes a phrase related to deleting text in PDF, suggesting a lure to trick users into clicking the malicious link. The ML classifier strongly indicated maliciousness, and the presence of a link farm further supports a malicious intent, likely for phishing or malware distribution.
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.cc/wb?keyword=delete%20text%20in%20pdf%20acrobat%20pro%209 In PDF document text
- http://files.amymclain.com/uploads/1/3/1/4/131453221/a284162.pdfIn PDF document text
- http://files.metahatem.com/uploads/1/3/1/4/131407369/gevanovopadivasuta.pdfIn PDF document text
- http://fadatijo.jarryjornopublishing.com/uploads/1/3/1/4/131437987/0a431583c7.pdfIn PDF document text
- http://kalejune.ingpro.at/uploads/1/3/1/3/131379578/lurizamewanevik.pdfIn PDF document text
- http://files.stcatherineofalexandriachurch.com/uploads/1/3/1/3/131383434/sumikixi.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://cdn.shopify.com/s/files/1/0430/8438/2357/files/59345545489.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/totavari.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0448/0276/9053/files/nomenclature_of_carbon_compounds_class_10.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1264/3223/files/venice_map.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8353/0394/files/el_alquimista_paulo_coelho_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/5913/2056/files/list_of_words_with_prefixes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3761/3461/files/12043861593.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1102/9667/files/cobra_mag_id_unturend.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5351/3880/files/define_economizing_problem.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/2614/4670/files/88451865323.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5010/6018/files/dolesafojetogonasifub.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/4746/1788/files/julida.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_off00005b64.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5B64 | 5124 bytes |
SHA-256: ac34129ef0da1cc39f860d1415c4c801e79800ef447da86696a81b168a2043a9 |
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font_01_sfnt_off00006cd5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6CD5 | 10752 bytes |
SHA-256: 2860fd1aed03784d5c0c8dfab9ad12a4080288c5e92d93120404ba0a0f1a510e |
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font_02_sfnt_off000091c1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x91C1 | 4324 bytes |
SHA-256: 1062cd8ddf90f4344fa193b395386d5669df1a952e5759311ca261a71931f361 |
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