MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple embedded links and a visible call-to-action button, directing users to a redirector URL that appears to be part of an SEO link farm. This suggests a tactic to manipulate search engine rankings or distribute traffic to a network of malicious or spam PDFs. The ML classifier strongly indicated maliciousness, and the link farm behavior is a known tactic for distributing unwanted content.
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.ru/pify?keyword=exercise+on+simple+past+tense+with+answers In PDF document text
- http://files.atruechristian.com/uploads/1/3/1/4/131453982/kakepa.pdfIn PDF document text
- http://files.phimi.pt/uploads/1/3/1/4/131482954/4e834d.pdfIn PDF document text
- http://files.nysaafg.org/uploads/1/3/1/0/131070872/c56ee33e4.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/1/0433/6759/6184/files/penetaluxofejadoxizuxo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0580/4698/files/botulujisiwix.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/1189/7504/files/mawetorezerewugixopu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/8728/0790/files/banking_awareness_questions.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7537/1159/files/kurorulawalafikud.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0386/2440/files/dutusukup.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8052/4710/files/11742967901.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6749/7880/files/difference_between_parametric_and_nonparametric_statistical_tests.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7526/4924/files/52836358973.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2402/3715/files/zavazalivasidajaz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1940/2397/files/jadug.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3830/1594/files/69291460766.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6104/1559/files/public_infrastructure_asset_management.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_off00004d5d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4D5D | 5080 bytes |
SHA-256: afece606632d5ddf0f57017784009b423e64ab1fc0035be37517fd912a7e9fd0 |
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font_01_sfnt_off00005e79.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5E79 | 9996 bytes |
SHA-256: e25ca8c520b0f36224c87363976ce0e85ac317c29b40da50e08baf99e4dbd5c2 |
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font_02_sfnt_off000080bc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x80BC | 4324 bytes |
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e |
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