MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.cc/pify?keyword=musculos+agonistas+y+antagonistas+del+hombro+pdf'. Additionally, it exhibits characteristics of a PDF link farm, with numerous embedded URLs, including one hosted on cdn.shopify.com. The ML classifier strongly flagged this PDF as malicious. No scripts were extracted, but the presence of a malicious redirector URL is a strong indicator of a phishing or redirection attack.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
-
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.
-
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.cc/pify?keyword=musculos+agonistas+y+antagonistas+del+hombro+pdf
- http://files.albertawinds.ca/uploads/1/3/0/8/130874379/5006072.pdf
- http://files.highpoint12.com/uploads/1/3/1/4/131453990/bf5284071.pdf
- http://files.letscodeon.org/uploads/1/3/1/6/131606261/vadit.pdf
- http://files.mitsuhiro-ikeda.com/uploads/1/3/0/9/130969761/f88e9e1ff5af.pdf
- https://cdn.shopify.com/s/files/1/0437/6304/0408/files/a_clockwork_orange_script.pdf
- https://cdn.shopify.com/s/files/1/0431/7990/1096/files/google_colab_gpu.pdf
- https://cdn.shopify.com/s/files/1/0437/4819/6506/files/33956363048.pdf
- https://cdn.shopify.com/s/files/1/0432/5530/0249/files/9431253107.pdf
- https://cdn.shopify.com/s/files/1/0437/3463/0549/files/12575443161.pdf
- https://cdn.shopify.com/s/files/1/0430/1737/1797/files/tirofibadovopidutitewod.pdf
- https://cdn.shopify.com/s/files/1/0435/1574/0312/files/215895252.pdf
- https://cdn.shopify.com/s/files/1/0432/4484/7261/files/99569940429.pdf
- https://cdn.shopify.com/s/files/1/0437/8614/1847/files/design_and_analysis_of_algorithm_notes_download.pdf
- https://cdn.shopify.com/s/files/1/0430/7966/3765/files/14731154302.pdf
- https://cdn.shopify.com/s/files/1/0431/8894/5064/files/titomobedisiguke.pdf
- https://cdn.shopify.com/s/files/1/0429/7746/0383/files/engineering_economy_sullivan.pdf
- https://cdn.shopify.com/s/files/1/0440/1951/5557/files/geralidoj.pdf
- https://cdn.shopify.com/s/files/1/0434/7628/7648/files/49874479159.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000063d4.bin8a39c04e80e1853abc3c9c72c4806101b152d5974b993dcdeebefea2f2ed2fa0 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x63D4 | 5816 bytes |
font_01_sfnt_off00007788.bin27326a84bbf572835cead0d1a855f8f4a4351b43d8364b7e8864a191c7b3d286 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7788 | 11256 bytes |
font_02_sfnt_off00009c4c.bindd176a707b38e2d14cf574a6160cd909198b34e10d42a5334d7f565d2b05970e |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9C4C | 16076 bytes |
Open this report in the interactive analyzer, or submit your own file for analysis.