MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a large number of embedded links, many pointing to Shopify domains, suggesting an attempt at SEO poisoning to drive traffic to malicious sites. One critical heuristic identified a link to a known malicious redirector at ttraff.ru. The ML classifier strongly indicated maliciousness. The document body appears to be corrupted or heavily obfuscated, preventing a deeper analysis of its 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.ru/pify?keyword=cuentos+de+eva+luna+isabel+allende+pdf+gratis In PDF document text
- http://files.lynniashanley.com/uploads/1/3/1/0/131070098/1454330.pdfIn PDF document text
- http://files.jenimcray.com/uploads/1/3/1/0/131070911/lakigaxafuzidupu.pdfIn PDF document text
- http://files.toplineeq.com/uploads/1/3/0/7/130776712/dawozudugotuw.pdfIn PDF document text
- http://files.gracewithlight.com/uploads/1/3/0/7/130738566/mobodasufe.pdfIn PDF document text
- http://files.protectplayanow.org/uploads/1/3/2/6/132683121/5013231.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/1/0437/9007/4016/files/95077288284.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1789/6089/files/wirulidowakimutalokod.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6671/0426/files/devajovuzeb.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3826/8827/files/rapomeviwuvegagifej.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1892/7778/files/35899448579.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8852/7014/files/91456272713.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9436/0743/files/gajadipuzimeg.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0721/2694/files/75925810080.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2068/9306/files/32457785874.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2469/4942/files/jusuvawatuvapexeru.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6271/4773/files/73463771885.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6278/7237/files/43512924198.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0645/2127/files/lilifenidixev.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3050/2806/files/78586202529.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_off00019285.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x19285 | 5312 bytes |
SHA-256: ce2c01d4045e4093d9f01c58d977732c73242ac9b95791be098a6b9dbd029e52 |
|||
font_01_sfnt_off0001a4a9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1A4A9 | 11708 bytes |
SHA-256: f652487fcfd4cc282e09bd94055af365836b21a6dbc1365f26eca011a5c820d0 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.