MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a large number of embedded links, many of which point to a link farm hosted on cdn.shopify.com, but one critical link directs to a known malicious redirector at ttraff.com. This suggests a social engineering attempt to redirect the user to malicious content. The ML classifier also strongly indicated maliciousness. No scripts were extracted, limiting the analysis of the payload.
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=c+p+d+ka+full+form In PDF document text
- http://teramer.assertion-evidence.com/uploads/1/3/0/7/130776483/3fba3a8640e068e.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/1/0433/7503/4524/files/introduction_to_circuit_analysis_13th_edition.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3004/5091/files/mice_and_mystics_lost_chapter_cat_s_cradle.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5904/3749/files/talutekokefedabemubuz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/86593634255.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4145/5261/files/xenenavegenawigod.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9400/6177/files/lunitumutixibo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5780/6488/files/nosql_database_types.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/xizujebekox.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6125/6091/files/b_tech_civil_engineering_syllabus_2020.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_off0000544a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x544A | 4976 bytes |
SHA-256: e4ab79f28b4c9acd761a3d47f87803f3d59f67c11a3acb896a5259e6276e8746 |
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font_01_sfnt_off0000652b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x652B | 10144 bytes |
SHA-256: 703a26bd93ad3c8e3c6eb6ad6687a259613876e8e35f986400f9ff8791195481 |
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