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 critical heuristic indicating it links to known malicious redirector infrastructure. The document body and embedded artifacts reveal a large number of external links, with at least one pointing to `https://ttraff.com/pify?keyword=hak+ulayat+adalah+pdf`, suggesting a link farm or redirection scheme designed to lead users to malicious content. The presence of numerous Shopify-hosted PDF links, while some are confirmed benign, indicates a broad attempt at SEO manipulation for malicious distribution.
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.com/pify?keyword=hak+ulayat+adalah+pdf In PDF document text
- http://files.tukatavientiane.org/uploads/1/3/1/4/131409794/dizisamibatodu.pdfIn PDF document text
- http://juvefasum.wrenphotographynd.com/uploads/1/3/0/7/130738970/900d5f5580.pdfIn PDF document text
- http://files.saintlouisspeed.com/uploads/1/3/0/8/130813509/mupajazute.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/1/0432/6018/2692/files/55526895571.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5131/0488/files/alankar_class_9.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/6195/0117/files/sogosaxes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/bopeberovejaxurid.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5759/4016/files/os_atos_institucionais.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4251/2802/files/bobcat_853_specs.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9340/8409/files/fedukixu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7569/7830/files/weathering_erosion_and_deposition_quiz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8530/7810/files/6250650843.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0776/1819/files/71695003085.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/3097/9495/files/86065654248.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0445/2545/3471/files/how_to_find_joint_from_marginals.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0582/8520/files/81786587643.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0581/2629/files/fesade.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5287/6455/files/pefokowaxanifororifof.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
🗂 Part of campaign:
saintlouisspeed.com
3 samples
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000069f9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x69F9 | 4984 bytes |
SHA-256: 5cca58c4a75351e5ad5041fd9e82e70d3bcf015e212e81677b8356f584a121db |
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font_01_sfnt_off00007af4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7AF4 | 9908 bytes |
SHA-256: 286c323e7e7e8f5d53f41be610e0be7a9c6f86ea96bb9ca0ed9c517edb228f13 |
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