MALICIOUS
84
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0050
Heuristics 5
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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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Image-only document with action trigger (screenshot lure) medium PDF_IMAGE_LUREPDF has 2 image(s), only 0 text block(s), carries a click-outward action, and is only 70 KB — typical shape of a phishing lure where a full-page screenshot hides a clickable button that launches or submits to an attacker URL.
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Image-only PDF lure with a single link to a non-reputable host medium PDF_IMAGE_LURE_NONREPUTABLE_LINKPDF is image-heavy with little real text and its only clickable action is a single external link to a host that is not known-good. This is the canonical malspam carrier shape — a screenshot-like 'click to view' page whose sole purpose is to funnel the victim to one redirect/landing URL on a compromised or throwaway domain. Flagged suspicious rather than malicious because the link alone (no shortener / typosquat / brand path) is the only corroborator beyond the image lure.
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External URI info PDF_URIPDF contains an external URL action
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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 http://bit.do/sexdatingsite PDF link annotation
- http://guiditiper.wiki-data.ru/d?keyword=omegle+video+talk+strangers+key&charset=utf-8&source=drupal_uploader2In PDF document text
- http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000d30b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD30B | 18488 bytes |
SHA-256: 9167888ac18377c94e8f45515c89e0f2e7ee7f4d522ebb23a02b949e52b42eb4 |
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font_01_sfnt_off0000fb9b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xFB9B | 15184 bytes |
SHA-256: 0140bcf0eb4d23ca584b5efeac51fda4bd5e8c843709d1b6a74d42ccfe151540 |
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