Malicious PDF — malware analysis report

Static analysis result for SHA-256 384543ba07402a59…

MALICIOUS

PDF

106.8 KB Created: 2021-02-23 22:58:58 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-11-20
MD5: e6d0f6ed2fb9674d5dbeb0970f7b04b7 SHA-1: a669781bc0c0928fb6c2d76a6b7b7a53d78fa89d SHA-256: 384543ba07402a5924944fb37addbdc5adeabc384853f58e09f6fc1a4f2e1e58
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 external resources, indicating a link farm or SEO manipulation tactic. One critical heuristic identified a link to known malicious redirector infrastructure. The ML classifier and ClamAV detection strongly suggest malicious intent, likely phishing or malware distribution.

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://crophysi.ru/123?utm_term=determine+whether+the+following+graph+can+represent+a+normal+density+function In PDF document text
    • http://trastqort.online/ririrumapuleq4cmo.pdfIn PDF document text
    • http://itsnat.space/textplus_law_enforcement_guideh2tpe.pdfIn PDF document text
    • http://shoop-ff.ru/remington_700_adl_vs_bdl_vs_spsq4bi4.pdfIn PDF document text
    • http://remastacer.com/zajelajorisatemamod2mxip.pdfIn PDF document text
    • https://lejalebenepuk.weebly.com/uploads/1/3/0/7/130776022/kogaxir_zosexetin_fanuzok_mitunetufat.pdfIn PDF document text
    • http://trychambre.xyz/bubble_trouble_pcchj4v.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/tuxexi/79778138110.pdfIn PDF document text
    • https://s3.amazonaws.com/batoragubukepo/51482139186.pdfIn PDF document text
    • https://s3.amazonaws.com/pokixovuxik/gujipuvurapide.pdfIn PDF document text
    • https://s3.amazonaws.com/guvovigo/50617902982.pdfIn PDF document text
    • https://s3.amazonaws.com/dudujopixejikug/octopus_64_bit_apk_android.pdfIn PDF document text
    • https://s3.amazonaws.com/lekezaru/4422884969.pdfIn PDF document text
    • https://s3.amazonaws.com/kavugusepe/81919921967.pdfIn PDF document text
    • https://s3.amazonaws.com/rabewiruzitewa/diy_hydroponics_systems_builder_guide.pdfIn PDF document text
    • https://s3.amazonaws.com/jiwisigetizoxif/sogitewodelafewofubuzebep.pdfIn PDF document text
    • https://s3.amazonaws.com/wipotegadodorek/56744321897.pdfIn PDF document text
    • https://s3.amazonaws.com/nuxulikiwab/kanban_task_board_onenote_template.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://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_005_off00016f96.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x16F96 25568 bytes
SHA-256: 92890dd3902dd1b2ed7cf88bf700e9ff2d00e5f01235c733a1059a570cf66808
font_00_sfnt_off000134a8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x134A8 5760 bytes
SHA-256: 2556d662c2a18afdfe3c29c163eef27a5e12c595821d6d6c4cbfeaf5643a260e
font_01_sfnt_off0001483c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1483C 11500 bytes
SHA-256: 3d0094fc66c1e190c7199cfce06e9f182386573cf8b3dc380a181a66d1149864

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