MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that redirect to a malicious SEO link farm, specifically targeting users searching for 'Metallica one tabs pdf'. The ML classifier strongly indicates maliciousness, and the heuristics confirm the presence of malicious redirector links and a link farm. Although no scripts were extracted, the document body and embedded links suggest a phishing or social engineering attempt to redirect users to malicious content.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
-
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.
-
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.
-
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.
-
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.
-
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=metallica+one+tabs+pdf In PDF document text
- http://files.iamsmall.net/uploads/1/3/1/4/131437064/8559675.pdfIn PDF document text
- http://files.suburbanmaven.com/uploads/1/3/1/3/131379382/602fdd2d4a2.pdfIn PDF document text
- http://files.stephanietingle.com/uploads/1/3/1/4/131453592/rufadubixu.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/1/0428/2076/3804/files/82294758430.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4636/2527/files/21408424277.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6395/7918/files/missouri_secretary_of_state_corporations.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/0422/1846/files/bovowajuvik.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1701/1353/files/kewadukal.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9565/4554/files/10947008508.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9931/5610/files/dark_web_image_search.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9726/8128/files/muwuliwisulikokobevakip.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8028/6372/files/nigewuvebete.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7003/7911/files/76827975678.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8865/8078/files/pibavavow.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0335/5034/files/67197764458.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0522/2822/files/dumar.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_off0000747e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x747E | 5200 bytes |
SHA-256: 5953748e44d0f352ee2b65173e076d45f67c6d84f52f71015652035cd4e03403 |
|||
font_01_sfnt_off00008649.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8649 | 14280 bytes |
SHA-256: 1e463c1f33908787ea99f28c3c3b0c66a6b280321b8065566b1995642c72c684 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.