PDF malware analysis — malicious · c1b62da788ebd8c0

MALICIOUS

PDF

69.7 KB Created: 2021-01-17 06:22:51 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-05

MD5: 9c21234ea8137bf2a042d00c28b31b04 SHA-1: 8e666906ccbec77771c867d92574081b2731c0d3 SHA-256: c1b62da788ebd8c045a2ed79c7760592d0db036acb9b6c2b01557b3487ff3ce2

96 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF file was detected as malicious by ClamAV and an ML classifier, indicating a high likelihood of malicious intent. It contains an embedded URL that directs users to a suspicious domain, likely for phishing or malware distribution. The document body, though heavily obfuscated, suggests a lure related to recruitment, aligning with spearphishing tactics.

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://trafftec.ru/123?utm_term=three+houses+recruitment+guide PDF link annotation
- https://site-1175525.mozfiles.com/files/1175525/road_turn_crossword_clue_6_7.pdfIn PDF document text
- https://cdn.sqhk.co/muvasesuru/69hjj7E/deadly_detention_netflix.pdfIn PDF document text
- https://site-1181732.mozfiles.com/files/1181732/31751483799.pdfIn PDF document text
- https://cdn.sqhk.co/tikalijit/bOaajiG/paditesepuruna.pdfIn PDF document text
- https://cdn.sqhk.co/kepilujofeje/qjagcBS/scorpion_wallpaper_animal.pdfIn PDF document text
- https://site-1180978.mozfiles.com/files/1180978/best_offline_english_to_tamil_dictionary_for_pc.pdfIn PDF document text
- https://cdn.sqhk.co/julukimesof/PgjFjbh/x-_wing_pew_pew_pew.pdfIn PDF document text
- https://site-1178527.mozfiles.com/files/1178527/sekavujukopibiwewu.pdfIn PDF document text
- https://site-1251351.mozfiles.com/files/1251351/69853574145.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/lovomijelun/sutirujoxebotidi.pdfIn PDF document text
- https://s3.amazonaws.com/tinivukedeta/hot_rolled_steel_sheet_specifications.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_off0000d64d.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xD64D	5060 bytes
SHA-256: `82a76b01ce784c1efd483769ffcba47020b7b746d35901efc2f17b56a8fa2e7b`
`font_01_sfnt_off0000e758.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xE758	10352 bytes
SHA-256: `5dbf2ed3378dd95493569c96fe963897622aae0991a7246f936537abedcfb313`

Open this report in the interactive analyzer, or submit your own file for analysis.