MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains a link that redirects to a known malicious domain, identified by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The document body and embedded links suggest a lure for a phishing campaign, likely disguised as a 'diabetic meal plan' to entice clicks. The ML classifier strongly indicates maliciousness, and the presence of numerous external links points to a link farm strategy.
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/pify?keyword=diabetic+meal+plan+sheet In PDF document text
- http://files.jazoot.com/uploads/1/3/0/7/130776451/3059526.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/1/0435/2638/9912/files/joint_probability_distribution_example.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4322/5751/files/taketufab.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1541/3661/files/63429419793.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7207/8499/files/survey_of_alternative_fuel_vehicles.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0645/9029/files/cycle_wala_game_video.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/7692/0220/files/26813523662.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5763/5735/files/34065425293.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0904/7717/files/fijiwixebepov.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9775/9643/files/vusilekoluzevuziritetate.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4912/2983/files/dajisodivetax.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.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006840.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6840 | 5216 bytes |
SHA-256: a9d53ba1e812aae5ba24e5e2bb24ac3a218c019e741078d1f1a0b34cd1512769 |
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font_01_sfnt_off000079d5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x79D5 | 10480 bytes |
SHA-256: 01d57b833b685cd6e67f6611d14b7dc9fc350c18103efdf0980f57bf8f15bc36 |
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