Malicious PDF — malware analysis report

Static analysis result for SHA-256 367e692756c128a4…

MALICIOUS

PDF

45.9 KB Created: 2020-09-29 21:25:10 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 10e037c9413fe0b1d1d208d09c23e900 SHA-1: 9f4b6549ec40512668282c94da6d35f3e836f5a6 SHA-256: 367e692756c128a4ac3b8c03c0d1613062c120cee5eeac2dd49a79f6d5c393ef
92 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a link to a known malicious redirector, https://gettraff.ru/strik?keyword=building+maintenance+management+system+pdf, which is disguised as a document about building maintenance. The ML classifier also strongly indicated maliciousness. The document body, though heavily obfuscated, contains this URL and other suspicious URLs that likely lead to further malicious content or downloads.

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://gettraff.ru/strik?keyword=building+maintenance+management+system+pdf
    • http://files.alltechif.com/uploads/1/3/0/8/130874393/7aabd5a6e.pdf
    • http://fefeve.gallerybluedoor.com/uploads/1/3/1/4/131483138/9171578.pdf
    • http://files.jimihuard.net/uploads/1/3/1/6/131636584/2181651.pdf
    • http://zigipo.sweetnellys.com/uploads/1/3/0/7/130740510/gibawajebu.pdf
    • https://site-1037135.mozfiles.com/files/1037135/pepakisuwu.pdf
    • https://site-1036785.mozfiles.com/files/1036785/60745696727.pdf
    • https://site-1037029.mozfiles.com/files/1037029/98288927684.pdf
    • https://uploads.strikinglycdn.com/files/d0b99f3a-d142-47e9-8dd2-24cac1b3137c/lemunogewezatatudi.pdf
    • https://uploads.strikinglycdn.com/files/7c54b3b6-522a-4664-abae-e51ddc8536c2/29496929978.pdf
    • https://uploads.strikinglycdn.com/files/094230f1-d9bd-473a-9c23-4b90d54804e8/70646017987.pdf
    • https://uploads.strikinglycdn.com/files/80f905ba-0c9f-4aad-9265-94c08f12d155/86501533237.pdf
    • https://cdn.shopify.com/s/files/1/0441/3105/7816/files/good_faith_estimate_excel_worksheet_template.pdf
    • https://cdn.shopify.com/s/files/1/0429/2352/4259/files/kulagokubuduxegezi.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000074fd.bin
65dbd776d020915e25e667a5d023903c65d1da732ee031bb90f817bc5ce7fa7e		 pdf-font-stream PDF embedded font (sfnt) at offset 0x74FD 5532 bytes
font_01_sfnt_off000087d5.bin
4eeec34412fadace8bcb2b7a5f1fd4517ba3b370100501a8646c385a6e851be6		 pdf-font-stream PDF embedded font (sfnt) at offset 0x87D5 10248 bytes

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