MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that redirect to malicious infrastructure, specifically identified as a redirector. The document body, though heavily obfuscated, contains a URL that appears to be part of a lure for a 'landfill gas monitoring report'. The presence of numerous external PDF links, many pointing to Shopify, suggests a link farm or SEO manipulation tactic to distribute malicious content. The ML classifier strongly indicates maliciousness.
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=landfill+gas+monitoring+report In PDF document text
- http://legef.grottonsinchile.org/uploads/1/3/0/8/130874330/8628828.pdfIn PDF document text
- http://files.mnrpcv.org/uploads/1/3/1/3/131378771/ef524ab75d.pdfIn PDF document text
- http://files.thewaveindustries.com/uploads/1/3/1/4/131413837/a1b902b2.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/1/0433/3142/0314/files/6024881132.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2512/9894/files/verav.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/5575/7977/files/5856015140.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/4923/6118/files/aws_certification_dumps_2020.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6016/5797/files/puziritotesokebate.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3033/1040/files/80019785677.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0129/8594/files/jujabosolusiba.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/2102/3904/files/precalculus_stewart_6th_edition.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0833/4744/files/cricket_game_for_pc_100_mb.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/7502/4549/files/daxavixozigitufutaro.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/dutevitijenunolekegek.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/2744/6435/files/python_flatten_list_of_lists.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9785/8972/files/62876715241.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_off0000dffd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xDFFD | 5300 bytes |
SHA-256: e10e556afde0a1af816e405ba2a10b5f5b59f6049c281b66f2c30ea141e2c23a |
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font_01_sfnt_off0000f1f0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xF1F0 | 10616 bytes |
SHA-256: 5f57ba1f25923fe95f8730f5afe964bc7237d2a354dc173c5a4638eecf538088 |
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