MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a large number of embedded links, many pointing to redirector infrastructure like 'ggtraff.ru', and others to S3 buckets hosting further PDF files. This indicates a link farm and SEO poisoning tactic designed to lure victims into downloading potentially malicious content. 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://ggtraff.ru/wb?keyword=manuales%20de%20procesos%20en%20informatica In PDF document text
- https://s3.amazonaws.com/wilugugo/manorama_weekly_free.pdfIn PDF document text
- https://s3.amazonaws.com/sinamozagemoger/wumelovojarebofupopuw.pdfIn PDF document text
- https://s3.amazonaws.com/subud/mudowogopov.pdfIn PDF document text
- https://s3.amazonaws.com/migivewuwe/jumafigotunefe.pdfIn PDF document text
- https://xiletepegokif.weebly.com/uploads/1/3/4/3/134319576/d75b8457f8dd8.pdfIn PDF document text
- https://jiwadurator.weebly.com/uploads/1/3/0/7/130776405/597ae6208332.pdfIn PDF document text
- https://babinekisifuve.weebly.com/uploads/1/3/2/6/132696104/nowuribinajefojavot.pdfIn PDF document text
- https://natizupasa.weebly.com/uploads/1/3/1/4/131437725/1a288a.pdfIn PDF document text
- https://gewosawoma.weebly.com/uploads/1/3/0/7/130739201/7410543.pdfIn PDF document text
- https://jiwamotezonadiw.weebly.com/uploads/1/3/4/3/134325797/9d30205.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00005dfc.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00005dfc.bin)
- https://cdn.shopify.com/s/files/1/0268/7752/6186/files/76543000748.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0481/8508/2008/files/repair_a_corrupted_file_free_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0266/9251/8057/files/63476547061.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0486/0752/7077/files/48776855394.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b516e6f9-28e3-435b-99bf-06dd69bcbeee/bmw_m50_parts.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6dedca4f-c648-4a19-82b6-ee1b08c002c4/57877432639.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3903/0439/files/solicitation_letter_examples.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0486/0752/7077/files/sujiniv.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 extracted file (font_00_sfnt_off00005dfc.bin)
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005dfc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5DFC | 5304 bytes |
SHA-256: a2de31391d88bb10048757751721783b24b6bc422ab790a04a856a6a3241f404 |
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font_01_sfnt_off00006fef.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6FEF | 9212 bytes |
SHA-256: de7af27f116839879d0a668b164ec8f04b2a5d72186d2ce85ad7dde96b90745f |
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