Malicious PDF — malware analysis report

Static analysis result for SHA-256 d8c0ce34e7a0313f…

MALICIOUS

PDF

77.8 KB Created: 2021-01-16 01:02:36 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-27
MD5: 5881ba8f4b422f75022fc75451e05416 SHA-1: ee86ebf47d5fd8fc110b4e3b0c6f54f8437403dd SHA-256: d8c0ce34e7a0313f7ef8ed9db1af8e8460f3390ad8671922c9e17e449887f165
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

This PDF file was flagged as malicious by a machine learning classifier and ClamAV. It contains a link to a known malicious redirector, gettraff.ru, which is disguised as a Google password recovery tool. The document body, though heavily obfuscated, contains text related to password recovery, reinforcing the phishing lure. The presence of a malicious redirector and the phishing pretext strongly suggest an attempt to steal user credentials.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9996

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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.
  • Password-protected archive handoff high SE_PASSWORD_ARCHIVE_LURE
    Document gives password instructions for an archive or attachment — often used to keep payloads encrypted until after gateway scanning
  • 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://gettraff.ru/123?utm_term=recover+google+password+without+phone In PDF document text
    • https://site-1172683.mozfiles.com/files/1172683/53855490568.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/luropi/new_audit_report_format_2019_icai_applicability.pdfIn PDF document text
    • https://s3.amazonaws.com/midaguvimabof/35160462464.pdfIn PDF document text
    • https://s3.amazonaws.com/naxozelozude/17783050372.pdfIn PDF document text
    • https://s3.amazonaws.com/wizidimawag/bogoroditse_devo_piano.pdfIn PDF document text
    • https://s3.amazonaws.com/luramamelolem/britax_bob_b_safe_car_seat_manual.pdfIn PDF document text
    • https://s3.amazonaws.com/mudurixo/cascada_everytime_we_touch_free.pdfIn PDF document text
    • https://s3.amazonaws.com/nelizenejakarug/approach_song_status.pdfIn PDF document text
    • https://s3.amazonaws.com/kujesulad/coliformes_termotolerantes_o_que_so.pdfIn PDF document text
    • https://s3.amazonaws.com/kavalukato/tabowem.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.

FilenameKindSourceSize
font_00_sfnt_off0000e542.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE542 5376 bytes
SHA-256: b302bbc3be8f91bede9125348b683233d53197d034d9cd7e61300c829add675a
font_01_sfnt_off0000f792.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF792 11048 bytes
SHA-256: 05e3fd6732f3243ae429dd48eeb64600dbe39e6344c4d1c2f9e7e62cbd8f1404
font_02_sfnt_off00011ca6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x11CA6 4324 bytes
SHA-256: 7f6049e5011acf0e8581793f2bc2bb947aac2929fdb77abc318b2a6155c1ef71

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