MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that redirect to a malicious URL, identified as a redirector for phishing or malware distribution. The document body text, though heavily obfuscated, contains the phrase 'Medical admission admit' and the malicious URL, suggesting a lure. The ML classifier strongly flagged this PDF as malicious, and multiple heuristics indicate it's part of a link farm designed to distribute content.
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=medical+admission+admit In PDF document text
- http://tofew.ministryofunderwear.co.uk/uploads/1/3/1/3/131398591/7641244.pdfIn PDF document text
- http://files.super-sounds.com/uploads/1/3/1/4/131437984/poxoguw.pdfIn PDF document text
- http://files.partneringforsafety.com/uploads/1/3/1/8/131856539/fovozaxigozotalejef.pdfIn PDF document text
- http://nozutezin.artontheriverph.com/uploads/1/3/1/0/131070374/wejuke_toxom_gotod_bukilu.pdfIn PDF document text
- http://smc.org.in)MeeraRegularMeera2016SMC7.0.0+20171102HussainIn PDF document text
- http://smc.org.inhttp://smc.org.inIn 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/1/0435/9746/3715/files/70446359699.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/6410/5886/files/74228241791.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1035/8423/files/gekuzofixowolugavek.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5381/7749/files/97951792353.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/2484/8795/files/fojofuzagunuviluxinalav.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1900/0229/files/system_analysis_and_design_mca_notes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0820/4708/files/rubisavexa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2147/4714/files/senna_lol_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7772/9430/files/doritewetipo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5410/3713/files/7895420454.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0441/2299/6888/files/antariksham_movie_songs_in_telugu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/4386/2181/files/75864517864.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4021/9041/files/programming_python_lutz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6472/9512/files/15612465766.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
- https://gitlab.com/smc/meera/blob/master/COPYINGIn PDF document text
- http://scripts.sil.org/OFLIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_004_off000075a8.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x75A8 | 6976 bytes |
SHA-256: 59d5e8212ce7a6e948eca2eef828b7d13a383a4642aa19592793e3cbebb0ff28 |
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font_00_sfnt_off000064c7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x64C7 | 4996 bytes |
SHA-256: 5a4bd6b3de558c854fdf6415f1f67cf2f29664e4859153470e08360e77cdf4d8 |
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font_02_sfnt_off00008dc2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8DC2 | 9860 bytes |
SHA-256: e5efbd76bd30141d28123116fb5e1d7090600b27c31bc2a6536c4175cc3a399d |
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