MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
This PDF document contains a large number of embedded links, many of which point to Shopify domains hosting other PDFs, suggesting a link farm for SEO manipulation. One critical heuristic firing indicates a direct link to a known malicious redirector infrastructure at 'https://ttraff.ru/pify?keyword=boyfriend+lyrics+video+song'. The document body, though heavily obfuscated, contains this same URL, confirming its intent to redirect the user. The ML classifier strongly supports the malicious verdict.
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=boyfriend+lyrics+video+song In PDF document text
- http://files.arulbalaneurosurgeon.com/uploads/1/3/1/4/131437123/8878048.pdfIn PDF document text
- http://files.17years.org/uploads/1/3/1/0/131069906/jolepetonamexe.pdfIn PDF document text
- http://files.gogreenleafmanagement.com/uploads/1/3/0/7/130774970/fobab.pdfIn PDF document text
- http://files.mindfulscp.com/uploads/1/3/1/4/131409090/f3170.pdfIn 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://cdn.shopify.com/s/files/1/0447/3847/8229/files/14043201414.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1673/9222/files/53414121346.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9439/2485/files/classical_and_neo_classical_theory.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5214/5560/files/plant_42_resident_evil.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3292/0732/files/68292286577.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8240/7335/files/27217373936.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5934/7618/files/finuvepurovomeduzes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8814/2743/files/phonetic_transcription_of_words_exercises.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/1901/6104/files/64349236817.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8289/9871/files/sofia_vergara_breasts.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8153/9489/files/19114919119.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8219/4852/files/55209024222.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
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006293.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6293 | 4900 bytes |
SHA-256: bff8abed4dd8a2d1f4d2336cd57b139d840d205496d90c031a79fcfcba93ed61 |
|||
font_01_sfnt_off0000734c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x734C | 10172 bytes |
SHA-256: 62ceb3e4ec017b3a7ba740926b161cef9c23925ed22e73e6e176f41c6c7eaa9e |
|||
font_02_sfnt_off00009617.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9617 | 4324 bytes |
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.