Malicious PDF — malware analysis report

Static analysis result for SHA-256 d8838ee757a09df9…

MALICIOUS

PDF

30.4 KB Created: 2020-11-06 05:51:53 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: e2018daba63e5fe55ddd165f2b3afc80 SHA-1: 7adc9fe5146b6f8cff2ca25e01ad475403b9618c SHA-256: d8838ee757a09df957140fad6abc5a6626832541335bac05599a1d6c4b32e384
94 Risk Score

Malware Insights

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

The PDF file was flagged as malicious by an ML classifier and contains a critical heuristic indicating a link to known malicious redirector infrastructure. The embedded URL, https://ggtraff.ru/123?keyword=rate+my+professor+scu, is presented in a way that mimics a search result, suggesting a social engineering lure. While no scripts were explicitly extracted, the PDF structure and the presence of a malicious URL strongly indicate an attempt to redirect the user to a harmful site.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • 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.
  • 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/123?keyword=rate+my+professor+scu
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • https://s3.amazonaws.com/zupenafud/tujosegipi.pdf
    • https://uploads.strikinglycdn.com/files/699b99ad-48e6-4266-bfbc-b9f607b324f5/29508928058.pdf
    • https://s3.amazonaws.com/vexeliku/janet_belsky_experiencing_the_lifespan.pdf
    • https://s3.amazonaws.com/gofiguj/journeys_readers_notebook_grade_3_online.pdf
    • https://s3.amazonaws.com/nilafafakem/affiliation_bye_laws_2018-_pages-_3-_74.pdf
    • https://uploads.strikinglycdn.com/files/fd9940e3-59a3-4ed8-9a84-6f5a4ac9225f/jadokujobif.pdf
    • https://s3.amazonaws.com/wogikokuzotaxa/durerijekaxunisepiroz.pdf
    • https://uploads.strikinglycdn.com/files/b6494668-aea9-4e7f-adfa-9f805b276ae4/74150308823.pdf
    • https://s3.amazonaws.com/fatikonavori/all_new_promo_codes_roblox_february_2020.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/
    • http://scripts.sil.org/OFL

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00003be5.bin
c698483e5b599886d8b3ccd63d398bb5589af905187994978103eae23f28115f		 pdf-font-stream PDF embedded font (sfnt) at offset 0x3BE5 5240 bytes
font_01_sfnt_off00004db3.bin
9e26913dacfe9783d2fe8cecad293290384bd09c59a7c94a609936d3b2d01d32		 pdf-font-stream PDF embedded font (sfnt) at offset 0x4DB3 9304 bytes

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