Malicious PDF — malware analysis report

Static analysis result for SHA-256 c562cfc0e19b4894…

MALICIOUS

PDF

59.3 KB Created: 2020-10-03 18:57:18 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: d63377b80619bdbbbb36821cf033dc43 SHA-1: e9b44170cdeeb023ae795e5d67a57f25d91de11e SHA-256: c562cfc0e19b48946ad977d3eca864fca3a044da1c26a90300fe261edee27089
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://ggtraff.ru/strik?keyword=sona+kitna+sona+hai+mp3+song+download In PDF document text
    • https://site-1038351.mozfiles.com/files/1038351/pofebegomusipufax.pdfIn PDF document text
    • https://site-1039676.mozfiles.com/files/1039676/67666082091.pdfIn PDF document text
    • https://site-1037188.mozfiles.com/files/1037188/vizesavi.pdfIn PDF document text
    • https://site-1036997.mozfiles.com/files/1036997/viwifozawarawazu.pdfIn PDF document text
    • http://duzokej.hoopstraining.com/uploads/1/3/1/8/131857054/gapumonalopiro.pdfIn PDF document text
    • http://dapigu.michelemargolis.com/uploads/1/3/1/3/131398009/jagivasexa.pdfIn PDF document text
    • http://files.spiritualtoolkit.com/uploads/1/3/2/3/132303164/vixodas_vazumitimade_zizipupajof.pdfIn PDF document text
    • http://juzuzujop.somedailyjoe.com/uploads/1/3/0/7/130738714/3691015.pdfIn PDF document text
    • http://files.hungrywhales.com/uploads/1/3/1/4/131407687/kinerefozow-tixevi-tunegumamas.pdfIn PDF document text
    • http://fontawesome.iohttp://fontawesome.io/license/In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/1317/6469/files/adjetivos_worksheet_answers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/6204/2529/files/disable_sip_alg_cisco_asa.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/8329/2060/files/41913492549.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/5560/6679/files/creating_the_constitution_packet_answers.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0458/6573/0201/files/mukadigafodabisapi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/6856/3355/files/how_to_add_multiple_drop_shadows_in_photoshop.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/4922/0256/files/95819004186.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/5980/2023/files/81234405235.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
    • http://www.geocities.com/mitra_anirban/hobbies.htmGNUIn PDF document text
    • http://www.gnu.org/copyleft/gpl.htmRegularIn PDF document text
    • http://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 5

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006b69.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B69 3036 bytes
SHA-256: 57b2e07ba2e274dbe73445350082d5bba7281627a1c7151843944f6ea83724dd
font_01_sfnt_off0000787a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x787A 5700 bytes
SHA-256: b172337883aff3c1258bed67c8d6a86a4d2d0db45a243f81dbe503d880fc6314
font_02_sfnt_off00008bca.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8BCA 3720 bytes
SHA-256: 6539b129c5cd894636dc8f40f53a156c00c8f46378ab4f137c96d687a1cff6ed
font_03_sfnt_off0000972d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x972D 11424 bytes
SHA-256: fdda6e36217588e79774c998ea659f4187c9992c3f997d234137008b7c58ff16
font_04_sfnt_off0000bcb3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xBCB3 19672 bytes
SHA-256: 1aca881eb8c9a10e196469d27e0f85d9a988a40adb1db0a2d8adbbd832000ea0