Malicious PDF — malware analysis report

Static analysis result for SHA-256 842d96042cdfe582…

MALICIOUS

PDF

71.9 KB Created: 2020-11-14 07:18:06 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-31
MD5: 7cab1c43093282f0526d6d3baf599fdd SHA-1: 1a925b0b5644425af77ba991bd3a8713bf87c6ca SHA-256: 842d96042cdfe582fd716e9642de4699a475aba95b5fb4acfdfd08004a59c856
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded URLs, with one identified as a known malicious redirector. The heuristic 'PDF_SEO_LINK_FARM' indicates a deliberate attempt to create a link farm, likely to distribute malicious content or phish users. The ML classifier and ClamAV detection strongly support the malicious nature of this file.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

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://ggtraff.ru/aws?utm_term=building+foundations+of+scientific+understanding+pdf In PDF document text
    • https://letitunonagafi.weebly.com/uploads/1/3/4/4/134494227/danuga.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369524/normal_5f8bef37ad2a9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4467975/normal_5faed395460f8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4413982/normal_5fa2f9f3133f0.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365591/normal_5f87083062fa4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4415739/normal_5f9d81bc3125a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4445116/normal_5fa7bdd4215fd.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/gogonof/how_to_be_a_better_leader.pdfIn PDF document text
    • https://s3.amazonaws.com/fuwawibu/21387608328.pdfIn PDF document text
    • https://s3.amazonaws.com/gopuze/galewujixumekusozivofedu.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/91159771546.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_off0000d09c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD09C 5256 bytes
SHA-256: 966998be5a5ab8b4e111e981cf893ce841ce6b94d2495cb93d4d32d45d3a9750
font_01_sfnt_off0000e27f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE27F 9976 bytes
SHA-256: 8f25f3f51b897426c0c3266ef4524421c34930a59ad9d32bf75f6dd5edd1173a
font_02_sfnt_off0001049b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1049B 4324 bytes
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2

Open this report in the interactive analyzer, or submit your own file for analysis.