MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a critical heuristic firing for a malicious redirector link pointing to ttraff.ru. Additionally, it exhibits characteristics of a PDF SEO link farm, embedding numerous external links, with the primary one leading to a Shopify domain. The ML classifier strongly indicated maliciousness. The document body, though partially garbled, contains the malicious URL and references to financial speculation, suggesting a lure for phishing or malware delivery.
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=bir+borsa+spek%25C3%25BClat%25C3%25B6r%25C3%25BCn%25C3%25BCn+an%25C4%25B1lar%25C4%25B1+e+k In PDF document text
- http://files.kendraleighmakeup.com/uploads/1/3/1/8/131856433/mazisuzefedum.pdfIn PDF document text
- http://files.pjpexotics.co.nz/uploads/1/3/1/4/131407918/95bb753.pdfIn PDF document text
- http://makonorim.artfeltcollaborative.com/uploads/1/3/1/4/131408103/voxazewafe-jemolixelam.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/1/0436/1024/3230/files/reservoir_induced_seismicity.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5376/8095/files/best_websites_to_albums_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1382/3909/files/video_player_hd_pc.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0246/1351/files/52085108663.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1740/3559/files/hillsong_worship_songs_mix.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8855/2870/files/breakout_edu_answers_ready_player_one.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8900/2645/files/zuxovujonubaj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4411/8428/files/beminejilekazaw.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/5725/9420/files/4297652448.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/2145/8853/files/vocabulary_words_for_grade_2.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_off00005ffd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5FFD | 5356 bytes |
SHA-256: 157ddc5d312f52629fa5165dea7bb4071e8ba6beaef9b72cbb5074dbe8c7182f |
|||
font_01_sfnt_off000071c2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x71C2 | 11776 bytes |
SHA-256: e054c2324a035ffa3fa288c96e9abf8ea534f213a274afd0ee0c1e5e6c296ff8 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.