Malicious PDF — malware analysis report

Static analysis result for SHA-256 2ecd9157084fb8ad…

MALICIOUS

PDF

77.3 KB Created: 2021-01-06 06:23:25 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-15
MD5: ca5fa5cced94d493aed41b9dbe46abc4 SHA-1: 940bf6de106d093c63b9e2eaaa81a3f934af6891 SHA-256: 2ecd9157084fb8adbd147f015a421a6864e07b7e7bcc398d98658298ba55b67d
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, many of which point to redirector infrastructure designed to lead users to malicious sites. Heuristics indicate a malicious redirector and a link farm, suggesting the primary goal is to drive traffic to potentially harmful content. While no scripts were explicitly extracted, the PDF structure and embedded URLs strongly suggest a phishing or malicious redirection attempt.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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.
  • 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://traffmen.ru/aws?utm_term=bonding+acrylic+sheet+to+wood In PDF document text
    • https://cdn-cms.f-static.net/uploads/4424024/normal_5f9e5bd5b9c2b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4445106/normal_5fb5984c930e6.pdfIn PDF document text
    • https://sijevunima.weebly.com/uploads/1/3/1/8/131859613/kuvoguji-sexisevavumig-guxujafam-sotisesafutule.pdfIn PDF document text
    • https://cdn.sqhk.co/lebereme/Njcjjgf/ugandan_knuckles_vrchat_funny_moments.pdfIn PDF document text
    • https://cdn.sqhk.co/soredepel/Ogiidif/tiny_archers_mod_apk_1._36._05._0.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/loranoduzuja/vuzafujuvoxekurub.pdfIn PDF document text
    • https://s3.amazonaws.com/fewifuwu/mafolamuw.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e0876883-95e7-4ab3-9192-582053a7673e/hiroshima_nagasaki_quiz_questions_and_answers_in_malayalam.pdfIn PDF document text
    • https://s3.amazonaws.com/mipeboro/xufemafuzunape.pdfIn PDF document text
    • https://s3.amazonaws.com/fewifuwu/20718354264.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/10e4de6f-09ef-4056-b00d-749e05faea59/56126032540.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4a0dbe98-3102-4250-97be-9b307e9fbfa0/disney_heroes_battle_mode_tier_list_maker.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d9f93b68-db64-4e34-9dbe-68d7cfa371f9/zimmer_implant_impression_copings.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ad4a12f8-1006-45ea-a350-de3529c98829/28154751067.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.

FilenameKindSourceSize
font_00_sfnt_off0000f07a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF07A 5444 bytes
SHA-256: cbdee73ec9398cbb339cfdd08b59c0b39d0c0c392cd5a444b34a7ab66081c48c
font_01_sfnt_off00010313.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x10313 10968 bytes
SHA-256: a125fbc9e5e1df87449ef21feb4e6872e82475eaba69aecc5d559cf228723eb8