MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
T1203 Exploitation for Client Execution
The PDF file contains a lure related to an 'Android 10 update for Samsung a50' and embeds multiple links. One critical heuristic indicates the PDF links to known malicious redirector infrastructure, specifically 'https://gettraff.ru/123?keyword=android+10+update+for+samsung+a50'. The ML classifier also strongly flagged this PDF as malicious. The presence of embedded links and the malicious redirector suggest an attempt to lead the user to a malicious site, likely for phishing or further malware delivery.
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://gettraff.ru/123?keyword=android+10+update+for+samsung+a50 In PDF document text
- https://cdn-cms.f-static.net/uploads/4384045/normal_5f95c1c347c9f.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393625/normal_5f94706baebc3.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4382192/normal_5f9117a419954.pdfIn PDF document text
- https://boguvetasitob.weebly.com/uploads/1/3/1/3/131380850/9979694.pdfIn PDF document text
- https://jawifimubagibe.weebly.com/uploads/1/3/4/3/134310986/5923327.pdfIn PDF document text
- https://veraweno.weebly.com/uploads/1/3/0/7/130739577/dudurojasav.pdfIn PDF document text
- https://moguvikob.weebly.com/uploads/1/3/0/8/130874292/dasibeleduwike_wupatedumuxuj.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://s3.amazonaws.com/mejifavo/how_to_convert_to_word_without_adobe_pro.pdfIn PDF document text
- https://s3.amazonaws.com/bokelur/anthropology_study_material_for_upsc.pdfIn PDF document text
- https://s3.amazonaws.com/felasorarabipis/53245626147.pdfIn PDF document text
- https://s3.amazonaws.com/tadovu/zibefixuku.pdfIn PDF document text
- https://s3.amazonaws.com/nowokil/28829538851.pdfIn PDF document text
- https://s3.amazonaws.com/moduxanakuri/fuziseloxom.pdfIn PDF document text
- https://s3.amazonaws.com/viromibukoleliw/girl_baby_names_in_tamil_2018.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8ff4018f-0c32-424f-bbf7-6a3d8e0b48fd/nerigifipuno.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/abde283e-2f7b-43aa-92bf-77b67f5e29cf/16220550416.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/1b876397-49ae-408f-86c4-f8223ec9eb97/kivinukitozemo.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/cfb22deb-1c15-4f13-888c-deb360c44ed2/20358280138.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/0c43c95c-3014-4a39-8156-643a13b59260/rupavis.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_off0000dde7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xDDE7 | 5520 bytes |
SHA-256: 04d1ab4193d1c64ed7569493c7d5d0afcf87d70a7c644cdc6642d6547d06adb1 |
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font_01_sfnt_off0000f096.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xF096 | 10940 bytes |
SHA-256: 621ecb4ed77a834cd9abe6a39276ca210c26453f9558c8b7178cf6469c7ea54e |
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font_02_sfnt_off000115d2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x115D2 | 4324 bytes |
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2 |
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