MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains a link farm and redirects to known malicious infrastructure, indicating a phishing or scam attempt. The document body and embedded link data suggest a lure for free downloads, likely to lead users to malicious sites or malware. The ML classifier strongly supports the malicious nature of this PDF.
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.ru/pify?keyword=let+my+love+adore+you+song In PDF document text
- http://files.tomdiviny.com/uploads/1/3/1/3/131380029/feniwuvowosutil.pdfIn PDF document text
- http://files.4-states-irrigation.org/uploads/1/3/0/7/130739766/8bcd82f65e.pdfIn PDF document text
- http://files.fieryoverforty.com/uploads/1/3/0/8/130874192/3060130.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/1/0436/9124/5733/files/vector_calculus_4th_edition_colley.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5951/9387/files/bang_bang_audio_songs_naa_songs.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5117/1478/files/38596432973.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/9142/6469/files/57685030431.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2087/0044/files/ziwivizuvegeramuwito.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/3641/6919/files/angina_de_pecho_clasificacion.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/0015/8629/files/bs_english_books.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7286/3899/files/internet_coffee_shop_business_plan.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_off00005b26.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5B26 | 5248 bytes |
SHA-256: 8c9dd8ecc410b964eae2ccca5a5c1671ca8adf5ee0f7d7d263f86bef601bc4fd |
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font_01_sfnt_off00006cfb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6CFB | 10548 bytes |
SHA-256: d161fc1ac545faf01e3b4e7419891780048358b605dc01218dcaf5be6ac7229b |
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