MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file contains a significant number of embedded links, with one pointing to a known malicious redirector (ttraff.com). The ML classifier also strongly indicated maliciousness. The document body, though heavily obfuscated, contains references to the malicious URL and numerous other PDF links, suggesting a link farm or SEO manipulation tactic. No scripts were extracted, but the PDF structure and URL analysis are sufficient to infer a malicious intent.
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/wix?keyword=radar+beamforming+basics In PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://static.usrfiles.com/ugd/8de238_13da1e50d4f84521a107892d14af2785.pdfIn PDF document text
- https://static.usrfiles.com/ugd/865d50_0f9b051d8e8648c5a36921de72991275.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_d424ac2844b1474390a801dd8b290f2a.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_945b6f7220ff415db9fb288c663fedef.pdfIn PDF document text
- https://static.usrfiles.com/ugd/0c4177_31cbf25b0fab405ca2128b2abd050542.pdfIn PDF document text
- https://static.usrfiles.com/ugd/fd3290_7e305fc217584f7dac8051e7d8b4b07a.pdfIn PDF document text
- https://static.usrfiles.com/ugd/696b8a_76314488a68147fca2d90c315231503d.pdfIn PDF document text
- https://static.usrfiles.com/ugd/d9d1f5_1a39e04cd696498bb48f0d14e19ddc7a.pdfIn PDF document text
- https://static.usrfiles.com/ugd/63d3ad_ff40dec291964a39a9d1ff02fd487512.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_14528a42e0e348f6a6ba60112970bfb4.pdfIn PDF document text
- https://static.usrfiles.com/ugd/cd79e3_10f8941f56b04a499c3d243e5ff71d52.pdfIn PDF document text
- https://static.usrfiles.com/ugd/a91264_020097645db349c5bec54bb23af0e145.pdfIn PDF document text
- https://static.usrfiles.com/ugd/451461_cf812c65d4eb4db1960c096e9414f587.pdfIn PDF document text
- https://static.usrfiles.com/ugd/f7fbc8_a8b202ebf4304330ab01ca70a4854e70.pdfIn PDF document text
- https://static.usrfiles.com/ugd/9374a7_907bf7456e5d4b14a8d353088fd398a5.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_28a425e369a54c39bbb2a8fcb70a94a6.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 5
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00009c74.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9C74 | 8048 bytes |
SHA-256: 47545881093d22349e880aa418f3dfbb3d036cff1881907332ef7be843b1c4dd |
|||
font_01_sfnt_off0000b7a4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB7A4 | 5164 bytes |
SHA-256: a3e6708faed276b76958a6ee80dd9fc1eeb27b077851159c51df591f54a4f401 |
|||
font_02_sfnt_off0000c91b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC91B | 10532 bytes |
SHA-256: a1f94263deac891f13a4c909e088f0dab53d6e517e650817b93308ef654645e1 |
|||
font_03_sfnt_off0000ed6b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xED6B | 16060 bytes |
SHA-256: c43c81af3addadc619f1b50b0eb79006c69e58cb90abf43f7a5fbd940e22698c |
|||
font_04_sfnt_off000101ff.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x101FF | 4324 bytes |
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.