MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a link farm designed to redirect users to malicious infrastructure, specifically to 'https://ttraff.com/pify?keyword=adjectives+list+with+pictures+pdf'. The document body, though heavily obfuscated, contains this URL and other links to PDF files hosted on Shopify. This suggests a social engineering attack aiming to trick users into visiting a malicious site under the guise of a helpful document. No scripts were extracted, limiting the analysis of further payload delivery or persistence mechanisms.
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=adjectives+list+with+pictures+pdf In PDF document text
- http://files.clairesanderson.org/uploads/1/3/2/3/132303205/gemum-sutozefurejik-fefojateru-gatanuvumiselu.pdfIn PDF document text
- http://files.moonlightairfoundation.org/uploads/1/3/1/3/131379567/c7506e54324e.pdfIn PDF document text
- http://xowar.iamrogerwebb.com/uploads/1/3/1/4/131482952/vusoxajuxote_kepezawi_rurilarek_situl.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/1/0433/9515/4070/files/xuvarotagigerobosavuzuxo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1570/8577/files/zabonepisebunuxabuxat.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7729/6543/files/tumoronexukidiwut.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0657/4238/files/ford_555_backhoe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6463/1195/files/11367709590.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/6133/0598/files/python_remove_html_tags.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4326/6458/files/redudojubesekugilumone.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/6072/1829/files/46330395149.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4652/5338/files/behringer_digital_mixer_x32_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9183/6566/files/31893701751.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7671/3637/files/77530870337.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_off0000650d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x650D | 5248 bytes |
SHA-256: 37a95509258c67dbe8ab64565a82c638e4f8728e2470ac2b09b97feb9b6b1db0 |
|||
font_01_sfnt_off00007701.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7701 | 15628 bytes |
SHA-256: 294bf718cc282c5cfe288e20ae9b2fae171685644dd24d50e04581b8d0c75b1d |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.