MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file was flagged as malicious by an ML classifier and contains a significant number of embedded URLs. One of these URLs, https://ttraff.ru/pify?keyword=l+aleph+borges+pdf+italiano, points to known malicious redirector infrastructure. The presence of a large link farm suggests an attempt to distribute malicious content or conduct phishing operations. No scripts were extracted, and the document body was heavily obfuscated.
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=l+aleph+borges+pdf+italiano In PDF document text
- http://files.intrepidtricking.com/uploads/1/3/0/8/130873893/ralinijokadapupewer.pdfIn PDF document text
- http://files.manosrhodes.com/uploads/1/3/1/4/131437693/vibedudirode-kelemeki-salusekewamal-mojijebagawoj.pdfIn PDF document text
- http://files.beyondaspectrum.org/uploads/1/3/1/6/131607029/427ca9396557b.pdfIn PDF document text
- http://files.websitetemplatesdesign.com/uploads/1/3/0/9/130969297/kadixefuled-kivobotobaj-kepeburoxofoba-mamuwufor.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/1/0431/0099/5741/files/62264453863.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7813/0593/files/pikiwiliregikufe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0985/8984/files/genobadifabal.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6899/7283/files/fufewaninaku.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9700/5981/files/ronim.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0092/2261/files/29814287707.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/8506/8456/files/beludojikovenoxize.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7037/4566/files/zinalemafavapojevat.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5095/1066/files/12627983692.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5738/1530/files/linfadenite_mesenterica_tratamento.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4383/1464/files/14397095653.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2727/4645/files/66650713928.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7461/6472/files/mogubepulidusurapoz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/4832/1692/files/fatebujiluvavenijobaf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/1884/4322/files/quimica_inorganica_atkins_4_ed_download.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000621c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x621C | 5384 bytes |
SHA-256: 93b082469163625ce8a8939474d989fa6870797cf9ead886261612bce361d12a |
|||
font_01_sfnt_off00007459.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7459 | 10360 bytes |
SHA-256: 4f921bd817b215a6570966b6b5d07d728daed098e28a1673b0ddadd259c605a4 |
|||
font_02_sfnt_off000097fa.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x97FA | 16208 bytes |
SHA-256: c668340ea348c6c31d5e51383644f9376ddb5abab10fc4a31907679951a3ddda |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.