MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that point to a redirector infrastructure, which is a common tactic for phishing and malware distribution. The ML classifier strongly indicated maliciousness, and the presence of numerous external links suggests an attempt to create a link farm for SEO manipulation or to distribute further malicious content. No scripts were extracted, but the document body and heuristics indicate a lure to a malicious URL.
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=toshiba+satellite+e205+s1904 In PDF document text
- http://fageg.ncwnavhda.org/uploads/1/3/1/3/131383629/bukekij_nujofif_fuzibazitapinos_kolubelojusaxox.pdfIn PDF document text
- http://pawuwez.cantonohiolandscaping.com/uploads/1/3/0/7/130776321/3998718.pdfIn PDF document text
- http://files.legacystrategy.com/uploads/1/3/2/8/132814465/9965883.pdfIn PDF document text
- http://files.ksonstruck.com/uploads/1/3/0/7/130739470/pizuxakekulekam.pdfIn PDF document text
- http://lusiposap.countrygirlcustoms.com/uploads/1/3/1/0/131070356/30264d69e29.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/1/0429/0412/5599/files/vojazipigavupudisajim.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7684/5728/files/lademaxokositikireme.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8642/9861/files/fuwibejajuxag.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1918/1978/files/http-_win._cpp_160.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9773/5843/files/78968335201.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8523/4338/files/lededuvij.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0448/1892/3686/files/latitajupuratopiwinofi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0448/1862/8765/files/holding_deposit_agreement_template.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0723/7531/files/pevobo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/3894/6981/files/independent_examiners_report_2018_accruals.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00007312.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7312 | 5144 bytes |
SHA-256: 60f6496962dc3b438139e3bae85ca6c7b962c71ed2c71a44a48e5511962d9658 |
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font_01_sfnt_off0000849c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x849C | 11204 bytes |
SHA-256: 87a6ba6df347802c9a2ef9f5e85afeb454f129c006794fdf4e52811a893f5e5c |
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font_02_sfnt_off0000aa5d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xAA5D | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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