MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF was flagged by a critical heuristic for linking to known malicious redirector infrastructure, specifically 'ttraff.com'. Additionally, it contains a large number of embedded links, many pointing to Shopify-hosted PDFs, suggesting a link farm or SEO abuse tactic. The ML classifier also strongly indicated maliciousness. No scripts were extracted, but the presence of malicious redirector links is sufficient to classify this as a malicious document.
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=kausani+tour+guide In PDF document text
- http://wexeron.singplayaudiate.com/uploads/1/3/0/8/130873851/zitubinezipi-fovepolid.pdfIn PDF document text
- http://juserane.theconferenceofbirds.com/uploads/1/3/0/7/130775085/7b78412f5c381.pdfIn PDF document text
- http://files.emilynahrens.com/uploads/1/3/1/8/131871424/6f5aa828b87a68.pdfIn PDF document text
- http://files.synergymedicines.com/uploads/1/3/1/3/131379296/8786241.pdfIn PDF document text
- http://lanubaf.camstenacity.com/uploads/1/3/0/7/130739783/nefubot-sisonitik.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/1/0435/2219/5608/files/bridal_bingo_template.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8171/2287/files/josopatitubowesapine.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/0875/7660/files/probability_theory_and_examples_solutions.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0178/1158/files/mudamajizovu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9823/5289/files/bobolebobo_video_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7680/3990/files/14329504828.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5276/9192/files/53454692010.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0956/4064/files/push_a_new_branch_to_github.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/0684/3288/files/verelikivinapi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/8876/3298/files/iot_building_arduino_based_projects_download.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:
leatherworksfordogs.com
3 samples
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000071c5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x71C5 | 4812 bytes |
SHA-256: 01680b74b226071f71c7b876447ae2562c180f852a1aee0b1c9a9ef53fd48f47 |
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font_01_sfnt_off00008228.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8228 | 10336 bytes |
SHA-256: 9fe7f46a5196760408949fd62ba7e35c2051dcd21e736b02db4c8f6802c8eea1 |
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font_02_sfnt_off0000a551.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA551 | 4324 bytes |
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3 |
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