Malicious PDF — malware analysis report

Static analysis result for SHA-256 e0c9a13297686ef9…

MALICIOUS

PDF

40.2 KB Created: 2020-09-04 11:57:31 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 247d75730d332b4502050be29f649926 SHA-1: f68bb16ff76e90cb59c14b2ed4f2a43edada8994 SHA-256: e0c9a13297686ef9bac201a101112595d62adde8f17d0ed8de00a58190ff0f82
94 Risk Score

Malware Insights

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

The PDF document contains a malicious redirector link disguised as a technical guide for removing Azure AD Connect. The ML classifier strongly flagged this PDF as malicious. The primary IOC is the redirector URL, which is likely used to lead the user to a malicious site or download further payloads. No scripts were extracted from this sample.

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.link/pify?keyword=remove+azure+ad+connect+manually
    • https://cdn.shopify.com/s/files/1/0432/7302/7749/files/45263063323.pdf
    • https://cdn.shopify.com/s/files/1/0436/0978/4482/files/finance_mba_interview_questions_and_answers.pdf
    • https://cdn.shopify.com/s/files/1/0433/5173/6471/files/41715027194.pdf
    • https://cdn.shopify.com/s/files/1/0437/6815/2216/files/former_crossword_clue.pdf
    • https://static.usrfiles.com/ugd/8ab72e_22d8081bf2074c1297b9ed70be2591cb.pdf
    • https://static.usrfiles.com/ugd/9ea9b6_40d5bc90640c44f6a0326c3468398e43.pdf
    • https://static.usrfiles.com/ugd/d55797_fd7c759c45e447909cd63acf29fa2018.pdf
    • https://static.usrfiles.com/ugd/87a178_d8ff1e59c96940c0a39626e9612b029f.pdf
    • https://static.usrfiles.com/ugd/5ed537_a1f316d694534444b038d1821c4e78cd.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_off00005c6f.bin
8562df4ba0ca7cf54eedab4e2982ef263571bf9b7831b62aa22a1478f821bbc1		 pdf-font-stream PDF embedded font (sfnt) at offset 0x5C6F 5124 bytes
font_01_sfnt_off00006dde.bin
c10b613ee83ab958be70c5ddda4aa2030911ef620aa390d2db8b0b3fe6b2d3f8		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6DDE 11916 bytes

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