MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains numerous links, including one pointing to a known malicious redirector (ttraff.cc). The document body, though heavily obfuscated, contains text related to '9th grade math worksheets pdf' and the URLs suggest a link farm designed to distribute PDF files. The ML classifier strongly indicated maliciousness, and the presence of a malicious redirector URL is a high-confidence indicator of a phishing or malware distribution attempt.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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.
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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.
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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.
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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.
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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=9th+grade+math+worksheets+pdf In PDF document text
- http://files.dropintoinfinity.com/uploads/1/3/2/8/132814071/woxakejor.pdfIn PDF document text
- http://riziloxo.heffnerdesignteam.com/uploads/1/3/0/7/130739267/dodufurapifunut.pdfIn PDF document text
- http://files.musollahsg.com/uploads/1/3/0/9/130969200/zilij.pdfIn PDF document text
- http://files.magiqatlas.com/uploads/1/3/0/8/130814513/zivatemurijupizowigi.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4127/5547/files/multiplication_bingo_printable.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0357/6481/files/ridujuzabe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1125/2132/files/98461513369.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/bararilisubolubudikolumo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3569/7063/files/sunexoguvuvezaxu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4444/6118/files/54507535705.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/8728/0790/files/vapuninelobezawilodine.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/7823/5798/files/what_is_an_example_of_ethos.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3131/4077/files/wovuzogowigujirekipir.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7183/1193/files/definition_of_artificial_intelligence.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/4979/3174/files/5738403339.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 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00007bd5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7BD5 | 5640 bytes |
SHA-256: 4cca465461607dd4e0550e0f4d7890b08927df04b0a71551fc803654f332a0fa |
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font_01_sfnt_off00008efd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8EFD | 2536 bytes |
SHA-256: 43d3dc35fac3cbb87bee9e3a39c9b3c65790059e51ddf3400f165f04894b88c5 |
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font_02_sfnt_off000099de.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x99DE | 14628 bytes |
SHA-256: c1046a2362d082a9c7a89147259410c82e5beb3aa9dde8475721726a5627c3c6 |
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font_03_sfnt_off0000c789.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC789 | 16096 bytes |
SHA-256: dc93e5052967703781f51559141dcf01c1fc37406ee72b563c21c85f67410e93 |
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