Malicious PDF — malware analysis report

Static analysis result for SHA-256 74713cc43897b4e7…

MALICIOUS

PDF

34.6 KB Created: 2020-09-09 14:21:03 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: 67f5d83a0da0caed0b48ef53b30edcc7 SHA-1: d568a29bf2217a6901c1e20c6e35834f2501b7ef SHA-256: 74713cc43897b4e70adb935cc37f514e1e3c9bb4b57235973ea49698f67d3547
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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/wix?keyword=grown+up+christmas+list+pentatonix+sheet+music In PDF document text
    • http://files.mayfieldwomensclubofwc.org/uploads/1/3/1/0/131071043/6e4b0f42a668.pdfIn PDF document text
    • http://buzinon.opffa.org/uploads/1/3/2/7/132712358/dijabisow_busiko_panexexiti_geravebipuwa.pdfIn PDF document text
    • http://suviguma.vitalitry.com/uploads/1/3/1/4/131408738/ed651425517.pdfIn PDF document text
    • http://weviw.englandlab.com/uploads/1/3/0/7/130738647/milazakojume_pikilenexoxil.pdfIn PDF document text
    • http://files.thomasfmadden.com/uploads/1/3/1/4/131438316/medumi.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://static.usrfiles.com/ugd/b96e41_2eb764118622415e9000dddf9e0d89d7.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/3615fb_1fb1f2b24bed4473ac42747ac512610e.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/0f5b72_d25cace493cc4871ab166bc09a64f075.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/26938b_fecbe8ab307f49dcb2cfd4f50afe5001.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/c162b3_f52df3ed9e3b454682294e4b9b7932b3.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/74147a_066c7a25b9e640259f956833b02fe5f4.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/4826f5_5e0cc99551da42449ade2c25f99dc46f.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b28ae2_013fcd24b3ca450d9e51270c93a1b197.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/6240f8_71c389e59ffc43abad6f654bf756ad35.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/0baf77_cb931c8eb65b471d9517cab1ae039a9a.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b96e41_282fbd6233764b588979aff2ade3108b.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/ed8107_e22b8a346d524bdc8112f8a9eb41b8a2.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 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000048fb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x48FB 5364 bytes
SHA-256: 4b43289f1391b451066080b276ee2f5f8009e93b0d32657a208e9b0923bb845d
font_01_sfnt_off00005b25.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5B25 10100 bytes
SHA-256: 1aaad94f698763ef7ec85730434a1dfdf46674e5235968f4c416dae2738751a0

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