Malicious PDF — malware analysis report

Static analysis result for SHA-256 dd37f25414850e94…

MALICIOUS

PDF

49.0 KB Created: 2020-11-05 05:57:56 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-26
MD5: adb27f9e2306612447a10565caf378d3 SHA-1: 1752fe6c71962998e87e096b27406edf015332c6 SHA-256: dd37f25414850e947dfa87bc525197dc90303cca77fe820ec8bd501be546d7e4
154 Risk Score

Malware Insights

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

The PDF document contains embedded links, with one specifically identified as a malicious redirector. The heuristic 'PDF_MALICIOUS_REDIRECTOR_LINK' and the ML classifier strongly indicate malicious intent. The document body, though partially corrupted, contains text suggesting a contest lure, which is a common social engineering tactic. The presence of numerous external PDF links, identified by 'PDF_SEO_LINK_FARM', further supports the malicious nature by indicating attempts to distribute malicious content or engage in link farming.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • 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://ggtraff.ru/strik?keyword=midwest+messenger+form+contest In PDF document text
    • https://gimejexoxixaza.weebly.com/uploads/1/3/1/8/131872185/kirorafagosox.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://uploads.strikinglycdn.com/files/5739de50-d639-4bef-bd10-321f107887c8/3_nephi_24.pdfIn PDF document text
    • https://s3.amazonaws.com/zewavidopexebi/college_board_login_for_teachers.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8789645a-a5ff-4fe6-813d-ca6598d412b9/jatakixelujevesogojob.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/97b64e93-211b-40a2-bb97-e2c106488fd9/soporte_vital_cardiovascular_avanzado_2015.pdfIn PDF document text
    • https://s3.amazonaws.com/banula/algebra_1_chapter_3_answers.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cfce034b-c647-4e4b-b7f9-2acddab7db87/zurewewalovujudotutukor.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4d58c231-6459-4699-a6aa-243cc1a0186b/gugopiwikafuri.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/627637dd-7f00-4226-80fc-639cd4fda82b/81485689762.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9e0d9b4f-d77a-47ec-b338-689e61a930f3/church_of_the_nazarene_manual_communion.pdfIn PDF document text
    • https://s3.amazonaws.com/boxujetanonikuv/getapk_apk_download.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/89380eaf-6171-40c1-90f9-37c3f4bfe342/gesusa.pdfIn PDF document text
    • https://s3.amazonaws.com/rokuwapesu/red_team_field_manual_github.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4cc30113-59f1-400c-b4bc-e063fc1de691/lekegidipavukelime.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_off00007488.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7488 4984 bytes
SHA-256: e1428ecd848b4d553900018c7609f574ea4ca9a93530ac99f647fe4a4acf901f
font_01_sfnt_off0000857d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x857D 10340 bytes
SHA-256: 1bd91911080609e1151bd844688ad20747b0482a5eea8234557773e09d58b77e
font_02_sfnt_off0000a8cd.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA8CD 4324 bytes
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2

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