Malware Insights
The PDF document was flagged as malicious by a machine learning classifier and contains a large number of external links, many of which point to PDF files hosted on Shopify and static hosting services. One of the embedded URLs, https://ttraff.ru/wix?keyword=lavender+town+sheet+music+tuba, is identified as a known malicious redirector. The document body is heavily obfuscated but contains this malicious URL and several benign-looking URLs. The primary attack pattern appears to be a link farm designed to redirect users to malicious infrastructure.
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.ru/wix?keyword=lavender+town+sheet+music+tuba
- https://cdn.shopify.com/s/files/1/0433/8404/5719/files/chase_credit_card_authorized_user_information.pdf
- https://cdn.shopify.com/s/files/1/0431/3340/3285/files/pazagijuj.pdf
- https://cdn.shopify.com/s/files/1/0436/3865/3086/files/vewijigejonolugodizukeza.pdf
- https://static.usrfiles.com/ugd/3c9ac1_1f835f59e4c4493fbb47a60de0033954.pdf
- https://static.usrfiles.com/ugd/764aaa_ebb48c0bd19e4129bbcda624a83d3671.pdf
- https://static.usrfiles.com/ugd/81ef4b_6d2079cb6a2a4c168f8953d8b1f4ed08.pdf
- https://cdn.shopify.com/s/files/1/0429/1801/9235/files/can_you_change_to_word_document.pdf
- https://cdn.shopify.com/s/files/1/0430/8949/4177/files/61233708731.pdf
- https://static.usrfiles.com/ugd/b8c837_f3508e15d49545ceb63de07015438d45.pdf
- https://static.usrfiles.com/ugd/e42ee3_0842cd4eb5f14831b7bfe3547e99ff63.pdf
- https://static.usrfiles.com/ugd/5ea4d5_0c402618f842468b81f36f902b7c3ec6.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 |
|---|---|---|---|
font_00_sfnt_off00004ca0.bin9ec9e03c75a127f942644b56af81a4151b177b885bb9629cb00477daccaa7f30 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4CA0 | 3512 bytes |
font_01_sfnt_off000058fe.bin4ec20db8b2395164c7edeabf3a0b712aec9046b4185f8aaa034beb8953d14523 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x58FE | 5260 bytes |
font_02_sfnt_off00006ac3.bincefb83ba667763fc6eb2f7eff0149a639c474a3734d206da85cab3307b16aef4 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6AC3 | 9804 bytes |
font_03_sfnt_off00008c41.binb50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8C41 | 4324 bytes |
Open this report in the interactive analyzer, or submit your own file for analysis.