Malicious PDF — malware analysis report

Static analysis result for SHA-256 1537cb9f4240910e…

MALICIOUS

PDF

71.3 KB Created: 2021-07-12 21:26:51 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 5.11.3) First seen: 2021-08-20
MD5: e9f18c55b1b2c1d2b55490d77df9651b SHA-1: 428a923b96a054c8ef13d691887194f4d7f0938a SHA-256: 1537cb9f4240910e6652c1e09798a9ca476f25510b66d394bd1c309bf1acd61a
66 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains an embedded URI pointing to a suspicious domain, identified by ClamAV as malware. The presence of this external link suggests an attempt to direct the user to a malicious site, likely for phishing or to download a secondary payload. No scripts were extracted, but the embedded URL is a strong indicator of malicious intent.

Machine Learning

  • Nyx PDF Classifier clean score 0.2209

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://philabc.ru/square?utm_term=remote+gsmedge+apk+free+download PDF link annotation
    • https://static1.squarespace.com/static/60aac4e0d5abe22cec5c4b22/t/60e8c23909230f0e1841f8ae/1625866809180/tensorflow_type_of_machine_learning.pdfIn PDF document text
    • https://static1.squarespace.com/static/60aac59fb7e9621e2f466549/t/60e935168ce0e10532d35057/1625896214845/defaulter_meaning_in_english.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://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Related samples 4

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000b897.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB897 15420 bytes
SHA-256: b621031e1c1e9d58962116ed10afb34ef736e9332ecf4aaa397e12dabda09dd7
font_01_sfnt_off0000dff5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDFF5 10972 bytes
SHA-256: 70b2ecb43baee1d06389abda6bbc42efff7c632cd0bbe993f1364884b5b2b882
font_02_sfnt_off0000f956.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF956 16792 bytes
SHA-256: 9d2294e344127da9ddc2b77d68b1576b6b78373885bc9da2859f180a98f2c1e1

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