PDF malware analysis — malicious · d37698eb1f4d037d

MALICIOUS

PDF

43.8 KB Created: 2020-11-04 04:33:21 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04

MD5: 351d18a47a6d8307ab4112d8bd72c23a SHA-1: 164488176df9a1d2b0e8a198953d53bb2c6702cb SHA-256: d37698eb1f4d037d047abd35c285072e65adb479d4a20dda59ec37183a692f75

94 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

This PDF document was flagged as malicious by an ML classifier. The file routes users through malicious redirector infrastructure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 3

PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK

PDF 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.
Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL

The 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.
Embedded URL info EMBEDDED_URL

One 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.club/123?keyword=most+venomous+spider+in+the+usa In PDF document text
- https://cdn-cms.f-static.net/uploads/4404524/normal_5f9fb067f359a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369769/normal_5f88bf1b8806b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4449614/normal_5f9fe875081f5.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4374951/normal_5f8ead245f79f.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/fasanag/1767948560.pdfIn PDF document text
- https://s3.amazonaws.com/fodose/sample_patient_discharge_letter_for_non-compliance.pdfIn PDF document text
- https://s3.amazonaws.com/xebareto/50265739890.pdfIn PDF document text
- https://s3.amazonaws.com/numegubowalonan/vewawotot.pdfIn PDF document text
- https://s3.amazonaws.com/rijaliwiguvex/kajipovotirujutubawomuva.pdfIn PDF document text
- https://s3.amazonaws.com/tezofuretejom/72774299838.pdfIn PDF document text
- https://s3.amazonaws.com/midaguvimabof/mathematics_books_free_download_in_hindi.pdfIn PDF document text
- https://s3.amazonaws.com/mijedusovineti/61103771373.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3b31b17e-5ac0-42de-8d6f-f92f2f4145a0/38886648782.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 2

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off00006d57.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6D57	5232 bytes
SHA-256: `b2ad14d7bae1fb8df1a53b0379355f4084af0e88fba5784397f5211142e9848c`
`font_01_sfnt_off00007f07.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x7F07	10368 bytes
SHA-256: `d5e319905187aaf1c27bd2418e96e635dd0db8bd1c441a163bae82f82754be26`

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