Malicious PDF — malware analysis report

Static analysis result for SHA-256 d67e6c0bdc6a3384…

MALICIOUS

PDF

42.5 KB Created: 2020-11-09 17:14:15 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-31
MD5: 2c0232e8a94dfba5a78fc9d9d7143df2 SHA-1: 719a4bae0e6c8eb8602a05fd70574e08bc6e25a9 SHA-256: d67e6c0bdc6a33843133a09109e879cfdced2e3f231bcb8c62050e5ca6f392c1
154 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, many pointing to Weebly and S3-hosted PDFs, indicative of a link farm designed to manipulate search engine results or distribute malicious content. One critical heuristic identified a link to known malicious redirector infrastructure. The document body, though partially corrupted, contains the lure text 'Donald trump psychic predictions 2020' and embedded URLs, suggesting a phishing or scam attempt. No scripts were extracted, but the presence of numerous external links and the ML classification strongly suggest malicious intent.

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://traffking.ru/strik?keyword=donald+trump+psychic+predictions+2020 In PDF document text
    • https://xinejusitap.weebly.com/uploads/1/3/4/6/134630468/weserifojilutenem.pdfIn PDF document text
    • https://faxufoxexukixel.weebly.com/uploads/1/3/4/4/134455740/bomodifib-mugorazogewa-zexetufuwidimu.pdfIn PDF document text
    • https://tokuniti.weebly.com/uploads/1/3/4/3/134331772/xoburesez.pdfIn PDF document text
    • https://sibakixode.weebly.com/uploads/1/3/2/8/132814768/4144282.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/faf568a7-6342-4540-8be2-508df330b06a/fusunaxote.pdfIn PDF document text
    • https://s3.amazonaws.com/suzixegazunow/minecraft_better_nether_mod_1.8.pdfIn PDF document text
    • https://s3.amazonaws.com/fulomufimikim/chen_style_tai_chi_online.pdfIn PDF document text
    • https://s3.amazonaws.com/zepifudoxapo/zirinufobakalibenalurugem.pdfIn PDF document text
    • https://s3.amazonaws.com/xuzed/dancing_in_the_moonlight_lyrics.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_off00006491.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6491 5688 bytes
SHA-256: 0438bb9916b6c3a2f91f8b26cadab6b04b66ee4a3c8141420a1649f1b6d68863
font_01_sfnt_off000077c9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x77C9 11164 bytes
SHA-256: c2ecd9effbcb3c0fb74fdccbbe121337bee3f3c925716cefe16038e7c87b01ab

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