MALICIOUS
134
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
T1203 Exploitation for Client Execution
The PDF contains a lure related to 'rate my professor hcc houston' and embeds a URL that redirects to a known malicious domain. This indicates a phishing or malware distribution attempt. The ML classifier strongly flagged this PDF as malicious, and heuristics confirm the presence of malicious redirector links.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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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://gettraff.ru/aws?keyword=rate+my+professor+hcc+houston In PDF document text
- https://cdn-cms.f-static.net/uploads/4427780/normal_5f9dd63e82d5a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4416143/normal_5f999c09567b6.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/1/0501/8147/2416/files/vimifigikesumu.pdfIn PDF document text
- https://s3.amazonaws.com/zobuwubedak/katefimunowamesoredalokol.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0502/4661/5231/files/tefalibud.pdfIn PDF document text
- https://s3.amazonaws.com/nuxepiduded/them_in_spanish.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2403/0619/files/24223106821.pdfIn PDF document text
- https://s3.amazonaws.com/dovulavavo/lenetifabiz.pdfIn PDF document text
- https://s3.amazonaws.com/xisefowu/oregon_country_fair_2017_lineup.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0478/4999/6447/files/frosty_the_snowman_sheet_music.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/9c37a681-5f95-4e80-9c80-610bec974d99/mini_z_manual.pdfIn PDF document text
- https://s3.amazonaws.com/bubodeliza/model_bye_laws_of_cooperative_housing_society_in_marathi.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_off00008c23.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8C23 | 5332 bytes |
SHA-256: 695e5c3360cc51a4035d7292ce83c3b791bdfc0621be2293f2e7166cea121fef |
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font_01_sfnt_off00009e2e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9E2E | 10324 bytes |
SHA-256: 5eb2f06d0543d6dbe1c245e2ca0f36706c9967083c98c90480fa267e242dce6c |
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