Malicious PDF — malware analysis report

Static analysis result for SHA-256 4bb91d252bd8ce82…

MALICIOUS

PDF

74.8 KB Created: 2020-12-16 05:43:23 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-07
MD5: 04d6f4a3fa01bf79a44e2d988ce5b885 SHA-1: 235171bb880b9d446556a25cf87e9e449e2ce336 SHA-256: 4bb91d252bd8ce82a42d2a1eab85567333a40cd2a6219bd77f12ecab271db171
214 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF contains a high number of embedded links, with critical heuristics identifying it as a malicious redirector and a link farm. The ML classifier strongly indicates maliciousness. While no scripts were extracted, the presence of numerous external links, including one pointing to known malicious infrastructure, suggests the document's primary purpose is to redirect users to potentially harmful sites for phishing or malware delivery.

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/123?utm_term=situated+learning+theory In PDF document text
    • https://gaxopekel.weebly.com/uploads/1/3/0/9/130969853/bojugefel.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4401525/normal_5fd199895b1e8.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4447646/normal_5fc3e08dd7dfa.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4407304/normal_5fbb2b33b34e7.pdfIn PDF document text
    • https://gudogetoji.weebly.com/uploads/1/3/4/6/134634169/c9f8c08cf79.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365655/normal_5f88141a79699.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4425929/normal_5f975f691c062.pdfIn PDF document text
    • https://tavumake.weebly.com/uploads/1/3/2/7/132740551/65d5b005b7c2ba6.pdfIn PDF document text
    • https://tabekobos.weebly.com/uploads/1/3/4/8/134869214/daponujuzilasobara.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4389571/normal_5fa6a836d6836.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4454575/normal_5fa83bc21c628.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/zumezeviwakiz/47037069229.pdfIn PDF document text
    • https://s3.amazonaws.com/bitizopovopaso/68972639942.pdfIn PDF document text
    • https://s3.amazonaws.com/nitidadufetenu/betujiwuzox.pdfIn PDF document text
    • https://s3.amazonaws.com/voropa/22320638990.pdfIn PDF document text
    • https://s3.amazonaws.com/mujevubutukoxu/proxy_site_unblocked_school.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_off0000daa4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDAA4 4996 bytes
SHA-256: 4ccd1cba03a8dfaaefcf53bcd1793ba5be6d4afb139a3ce7cfe54e7009d3ec21
font_01_sfnt_off0000eb8e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xEB8E 10996 bytes
SHA-256: f7cc5355993964bebda260530eb64149e540603b2556306e9370b4a49a2ac6b6
font_02_sfnt_off00011093.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x11093 4324 bytes
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333

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