Malicious PDF — malware analysis report

Static analysis result for SHA-256 e8a3bafd795bbb74…

MALICIOUS

PDF

32.3 KB Created: 2020-08-24 07:54:53 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 28ef41482f7d927afc9c643d9f95b6cd SHA-1: bb7100ce1ff2a5227bcaad9318b705d968c31655 SHA-256: e8a3bafd795bbb74718b2622fecfd07357fef30a2e747ba2e8dc283cfa05e601
94 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a link to a known malicious redirector, ttraff.com, which is disguised as a document providing answers to an exam. The ML classifier also strongly indicated maliciousness. The primary attack vector appears to be social engineering via a deceptive document, leading the user to a malicious URL.

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://ttraff.com/pify?keyword=apes+free+response+2018+answers
    • http://files.theyellowjacket.com/uploads/1/3/1/4/131453436/xipogixidarasuzu.pdf
    • http://files.deedeeraap.com/uploads/1/3/1/3/131398134/7daf69e15611ef.pdf
    • https://cdn.shopify.com/s/files/1/0428/3292/0739/files/32386074550.pdf
    • https://cdn.shopify.com/s/files/1/0434/1566/6840/files/9820907614.pdf
    • https://cdn.shopify.com/s/files/1/0450/8824/3864/files/perfiles_de_aluminio_para_ventanas_corredizas.pdf
    • https://cdn.shopify.com/s/files/1/0436/2010/6404/files/naruto_shippuden_episode_370_english_dubbed.pdf
    • https://cdn.shopify.com/s/files/1/0430/4686/3005/files/maxuxipowuparulupanezar.pdf
    • https://cdn.shopify.com/s/files/1/0431/6564/7012/files/29304914475.pdf
    • https://cdn.shopify.com/s/files/1/0434/9332/7008/files/fefoli.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/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00003f9e.bin
c2e1648d9c440d5962c806010e6f3d7c47801438f11818e673c1950b80f1daa7		 pdf-font-stream PDF embedded font (sfnt) at offset 0x3F9E 5464 bytes
font_01_sfnt_off0000525f.bin
6e5374bd30403e81854675e57f63c5e8b0e3fd5414d45edee71b0f742c9cde7e		 pdf-font-stream PDF embedded font (sfnt) at offset 0x525F 10152 bytes

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