MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains multiple embedded links, with one specifically pointing to a known malicious redirector. The document body, though heavily obfuscated, contains text fragments suggesting a lure related to 'Azerite armour guide'. The presence of a link farm and a high ML classifier score further indicate malicious intent, likely to redirect users to a malicious site for further exploitation or credential harvesting.
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.cc/pify?keyword=azerite+armour+guide In PDF document text
- http://kedobepu.kyrakalageorgi.com/uploads/1/3/0/8/130874001/cbc579.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/1/0433/0687/7080/files/vujunuvitiwowus.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9515/4070/files/xuvogaxudimip.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5622/5686/files/busunolevomimatadoxate.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7609/1046/files/rapid_sequence_spinal_anaesthesia.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/3485/9941/files/50168762460.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1829/7245/files/26940039676.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4111/1716/files/65276325447.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5497/3606/files/bhayya_movie_video_songs_hd.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/13908697451.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:
aramgershuni.com
3 samples
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006c94.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6C94 | 4976 bytes |
SHA-256: fb576110bd7947c8078f6133dff892ed0a1e485ee17b68ae1a8862b5cccfe3a2 |
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font_01_sfnt_off00007d6a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D6A | 10764 bytes |
SHA-256: 5c20a74e66395bea04cfbe168d223817ec03786ed8d66ce9a1041d82b267255d |
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