MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF document was flagged as malicious by a machine learning classifier and contains a significant number of embedded links. One critical heuristic identified a link to a known malicious redirector, and another indicated a large external PDF link farm. The document body, though heavily obfuscated, contains URLs that are likely part of this link farm, suggesting a social engineering lure to drive traffic to malicious infrastructure.
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.ru/pify?keyword=guida+turistica+bilbao+pdf In PDF document text
- http://files.lymeaustralia.com/uploads/1/3/1/6/131606284/2801022.pdfIn PDF document text
- http://files.pointepoa.org/uploads/1/3/2/6/132696483/kumirazowoga_momamedarofem_sumufiwedoresan_fatoxijupeziv.pdfIn PDF document text
- http://files.battambangparish.org/uploads/1/3/2/6/132681002/d767baf407e6.pdfIn PDF document text
- http://files.donbryant.com/uploads/1/3/1/3/131379820/4546952.pdfIn PDF document text
- http://files.besomeoneco.com/uploads/1/3/0/7/130775516/fikavasufiwi.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/1/0430/5358/0437/files/dojunisabarepogapizaxula.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/xuvekalododit.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4845/9673/files/rudizofib.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/7917/8142/files/bfuhs_holiday_list_2020.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5804/3797/files/sell_5th_edition.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4030/9402/files/98641118693.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/4884/3934/files/felifelubefavazu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8158/1209/files/bacteriophages_biology_and_applications.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1163/7401/files/venolawimula.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4401/1168/files/50845350286.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8734/7360/files/bee_movie_in_1_second.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/4264/1832/files/tugukukemojinewin.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_off0000ce16.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xCE16 | 4980 bytes |
SHA-256: e32824f8bc56d25b23f453145a2a41d3880565b44aebfa0c0ff182b49e92989d |
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font_01_sfnt_off0000df0a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xDF0A | 12048 bytes |
SHA-256: 6b56d482db30445c3df096b2e88c27280bf584d52da4adfbb0d55e732d50412d |
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font_02_sfnt_off00010671.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10671 | 16876 bytes |
SHA-256: 69cb347ec9cf8b230d14d772cffdf90406b941589bd873d85c76c66c47458d3f |
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font_03_sfnt_off00011dad.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x11DAD | 4324 bytes |
SHA-256: 7f6049e5011acf0e8581793f2bc2bb947aac2929fdb77abc318b2a6155c1ef71 |
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