MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a high density of external links, many pointing to Shopify domains, suggesting a link farm for SEO poisoning. One critical heuristic identifies a direct link to a known malicious redirector at 'https://ttraff.cc/pify?keyword=breastscreen+australia+monitoring+report+2014-+15'. The document body, though heavily obfuscated, contains the same URL, reinforcing its malicious intent. The ML classifier also strongly flagged this PDF as malicious.
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=breastscreen+australia+monitoring+report+2014-+15 In PDF document text
- http://files.llrcanineobedience.com/uploads/1/3/2/3/132303035/xizumadozas.pdfIn PDF document text
- http://vobesup.janiceragoart.com/uploads/1/3/1/4/131453177/aae07e8e.pdfIn PDF document text
- http://files.delytefulpapillons.com/uploads/1/3/1/4/131453943/tonuduj.pdfIn PDF document text
- http://files.darrellmatsumoto.com/uploads/1/3/0/8/130873839/nodun.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/1/0429/5317/9289/files/kebegam.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9183/6566/files/endless_ocean_blue_world_aquarium_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/6984/8217/files/38717471180.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/rinubigelezegir.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7206/1591/files/6395241703.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5388/2280/files/ansioliticos_2020.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8760/9497/files/hades_star_mod_apk.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1607/7991/files/juzevo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0637/6611/files/red_lava_lamp.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3830/2627/files/minecraft_parkour_maps_for_xbox_one.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_off000093ee.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x93EE | 5872 bytes |
SHA-256: c330a6256b663a3c244fc32af297c88eacb332acdcc139a89463ff8ef37501dd |
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font_01_sfnt_off0000a7e6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA7E6 | 10668 bytes |
SHA-256: 562b5ac7805a229a6db578b458d268953f630808806971ada20fbc16b3e93527 |
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