MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains multiple links, including one to a known malicious redirector, disguised as educational content. The ML classifier strongly indicates maliciousness. The primary lure appears to be a fake download link for educational materials, which redirects to a malicious site.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTONDocument contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
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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=alcohols+phenols+and+ethers+class+12+ncert+solutions+pdf In PDF document text
- http://files.primetimeballoons.ca/uploads/1/3/0/9/130969885/9088492.pdfIn PDF document text
- http://files.londonpaservices.com/uploads/1/3/1/4/131407096/jevukijaxotozanozad.pdfIn PDF document text
- http://kujaf.outsideinstables.com/uploads/1/3/1/4/131482975/c6d9b70.pdfIn PDF document text
- http://sorivafug.morjana.net/uploads/1/3/0/9/130969656/womofalejizul-vegokefawetesej-zosiso-wozitepakizuvu.pdfIn PDF document text
- http://maxorup.schultzwines.com/uploads/1/3/0/9/130969042/lapewamugir.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/1/0432/7338/8190/files/zarabesedagaxadikotulubu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9717/0847/files/27903746512.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/23651487672.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8722/4213/files/adding_and_subtracting_scientific_notation_guided_notes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/3775/1456/files/avesta_espaol.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3758/8646/files/kenya_population_census_2020_results_by_county.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4897/6027/files/bizhub_c227_brochure.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8370/1151/files/ssi_open_water_diver_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0201/9487/files/77439363850.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2799/5552/files/reduce_mov_file_size.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6587/6390/files/10050445798.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/3917/6357/files/dexovireje.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000079a7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x79A7 | 5416 bytes |
SHA-256: 6b0cbff20f46a54119e32ad4518c4f36e92837b33f1f09e5f26d52c998e2a368 |
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font_01_sfnt_off00008c01.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8C01 | 10596 bytes |
SHA-256: 8bc75beaa2b0b52c167b91b0a4819c903dce588963b9d548832bc1283b472607 |
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