PDF malware analysis — malicious · 5902acd28bdf17a1

MALICIOUS

PDF

130.9 KB Created: 2021-01-12 10:52:20 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-16

MD5: ea3269ac3aa5bb7bf9f6774088ac3d94 SHA-1: 91140e81305fcb968a581efb9b03995e8ccd8fcf SHA-256: 5902acd28bdf17a16f02b1fe7e9d4188dba2475ad196e63d2a237e35320efae3

96 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The file is a PDF with a high ML classifier score and ClamAV detection, indicating malicious intent. It contains an embedded URL that is likely part of a phishing or redirection scheme. The document body, though partially obfuscated, references 'E36 automatic manual mode', suggesting a lure to entice users to click the malicious link.

Machine Learning

Nyx PDF Classifier malicious score 0.9997

Heuristics 4

ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION

ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
External URI info PDF_URI

PDF contains an external URL action
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://traffnew.ru/aws?utm_term=e36+automatic+manual+mode PDF link annotation
- https://cdn-cms.f-static.net/uploads/4366018/normal_5fdbe2506d553.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375518/normal_5fb8efe0bcd14.pdfIn PDF document text
- https://site-1171373.mozfiles.com/files/1171373/truck_simulation_19_apk_mod_download.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4455377/normal_5fe230986be30.pdfIn PDF document text
- https://site-1201336.mozfiles.com/files/1201336/ben_10_up_to_speed_apk_download_uptodown.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/woxewiwupir/bootstrap_grid_template_w3schools.pdfIn PDF document text
- https://s3.amazonaws.com/vavebufevodutob/83423849826.pdfIn PDF document text
- https://s3.amazonaws.com/muxegeza/nifedojep.pdfIn PDF document text
- https://s3.amazonaws.com/zamemigojat/adb_shell_android_tutorial.pdfIn PDF document text
- https://s3.amazonaws.com/bojafazes/fatijel.pdfIn PDF document text
- https://s3.amazonaws.com/wixanarer/pdf_course_after_phd.pdfIn PDF document text
- https://s3.amazonaws.com/dukajevo/86802197340.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_off0001c15b.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x1C15B	5084 bytes
SHA-256: `00df2973ede20824e599a7cd6d12869182eb0e233a3a15e2bcb3cc21c29bece8`
`font_01_sfnt_off0001d299.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x1D299	14136 bytes
SHA-256: `c306b27ceaea0f616faf0f3bf3c8321644059205db0152b314facd2ffa8e3fe0`

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