MALICIOUS
150
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file was flagged by a machine learning classifier and contains numerous embedded links. One critical heuristic identified a link to a known malicious redirector at 'https://ttraff.cc/wix?keyword=%25D8%25A3%25D9%2582%25D9%2588%25D9%2589+%25D9%2585%25D9%2588%25D9%2584%25D8%25AF+%25D9%2583%25D9%2584%25D9%2585%25D8%25A9+%25D8%25B3%25D8%25B1'. The presence of a large number of external links, many hosted on cdn.shopify.com, suggests a link farm or SEO poisoning tactic to distribute malicious content.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
-
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.
-
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/wix?keyword=%25D8%25A3%25D9%2582%25D9%2588%25D9%2589+%25D9%2585%25D9%2588%25D9%2584%25D8%25AF+%25D9%2583%25D9%2584%25D9%2585%25D8%25A9+%25D8%25B3%25D8%25B1
- https://static.usrfiles.com/ugd/7f929b_ff28002ea5764b00b64170fc7ca2c667.pdf
- https://static.usrfiles.com/ugd/ab922d_95a191eda77446e0bd6dffaf0f7376b7.pdf
- https://static.usrfiles.com/ugd/b85eb0_d1d2cc966a88406b8eaf836209ff9d73.pdf
- https://cdn.shopify.com/s/files/1/0440/6912/6309/files/report_abandoned_vehicle_texas.pdf
- https://cdn.shopify.com/s/files/1/0429/0628/8291/files/public_policy_making_anderson_6th_edition.pdf
- https://cdn.shopify.com/s/files/1/0435/2566/9028/files/22599817250.pdf
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/nepel.pdf
- https://cdn.shopify.com/s/files/1/0434/9696/4261/files/amphibian_heart.pdf
- https://cdn.shopify.com/s/files/1/0433/2758/6472/files/660574817.pdf
- https://cdn.shopify.com/s/files/1/0438/3470/4034/files/american_harvest_pellet_stove.pdf
- https://cdn.shopify.com/s/files/1/0432/7338/8190/files/71314793174.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 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_006_off0000e048.bin4a16d8343d9a361d0ed2b2bea133a32ff220f78dc19627ef5d9c4aa1caf83dac |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0xE048 | 32312 bytes |
font_00_sfnt_off00009608.bindbff9e152aad335916b2bee87cd027f069b59f9160570467db14ecf46f1c4e85 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9608 | 4068 bytes |
font_01_sfnt_off0000a3e6.bin448b9f0659a54607f6a7dbd5872a521b74efe30016aa682612a4cf7936804a5a |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA3E6 | 17784 bytes |
font_02_sfnt_off0000beef.binde5482bfbf4dab2ab7a849b47bae46fed2dd0744d0a963dff99a5d3c2e5b0b67 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBEEF | 9676 bytes |
Open this report in the interactive analyzer, or submit your own file for analysis.