Malicious PDF / .VIR — malware analysis report

Static analysis result for SHA-256 53e797b5c5b62ace…

MALICIOUS

PDF / .VIR

411.3 KB Created: 2020-06-29 14:28:15 +02:00 Authoring application: Microsoft® Word para Office 365 First seen: 2024-11-17
MD5: 3c25997de9d62cc79c6a0e20a00559d5 SHA-1: 60477c20de85c98948f6bb0145b78da28abf34e5 SHA-256: 53e797b5c5b62ace3c9f16aa3d517a64e6544c8729ebc6bfcdffd9e308bc9af2
64 Risk Score

Machine Learning

  • Nyx PDF Classifier clean score 0.0002

Heuristics 3

  • Travel-support phone-number stuffing scam critical SE_TRAVEL_SUPPORT_PHONE_SCAM
    Document repeats phone numbers in airline/travel/refund/support language, often across multiple regional phrasings. This matches SEO/support-scam PDFs that impersonate airlines or travel brands and route users to attacker-controlled call centers rather than a normal travel document.
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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 http://sorelle.friedler.net/papers/sts_fat2019.pdf In PDF document text
    • https://criticalracedigitalstudies.com/In PDF document text
    • https://ainowinstitute.org/AI_Now_2018_Report.pdfIn PDF document text
    • https://responsiblebusinessconduct.eu/wp/2020/04/30/european-commission-promises-mandatory-due-diligence-legislation-in-2021In PDF document text
    • https://criticalracedigitalstudies.comIn PDF document text
    • https://responsiblebusinessconduct.eu/wp/2020/04/30/european-commission-promises-In PDF document text
    • https://qz.com/1585645/color-blindness-is-a-bad-approach-to-solving-bias-in-algorithmsPDF link annotation
    • https://fra.europa.eu/en/publication/2018/bigdata-discrimination-data-supported-decision-makingIn PDF document text
    • https://philmachinelearning.files.wordpress.com/2018/02/gabbriellejohnson_algorithmic-bias.pdfIn PDF document text
    • https://foreignpolicy.com/2013/05/10/think-again-big-dataIn PDF document text
    • https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3403010In PDF document text
    • https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2477899In PDF document text
    • https://privacyinternational.org/long-read/3390/2020-crucial-year-fight-data-protection-africaIn PDF document text
    • https://journals.sagepub.com/doi/full/10.1177/1536504218766547In PDF document text
    • https://unctad.org/en/PublicationsLibrary/dtlinf2020d1_en.pdfIn PDF document text
    • https://journals.uic.edu/ojs/index.php/fm/article/view/3821In PDF document text
    • https://unesdoc.unesco.org/ark:/48223/pf0000260781In PDF document text
    • https://rightscon2018.sched.com/event/EHqs/addressing-the-digital-divide-in-indigenous-communities-in-north-americaIn PDF document text
    • https://comprop.oii.ox.ac.uk/wp-content/uploads/sites/93/2019/09/CyberTroop-Report19.pdfIn PDF document text
    • https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3304223In PDF document text
    • https://science.sciencemag.org/content/366/6464/447In PDF document text
    • https://papers.ssrn.com/sol3/papers.cfm?abstract_id=346747In PDF document text
    • https://timesofindia.indiatimes.com/city/kolkata/court-relief-in-disabled-womans-aadhaar-battle/articleshow/68961357.cmsIn PDF document text
    • https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3333423In PDF document text
    • https://datasociety.net/wp-content/uploads/2018/10/DataSociety_Governing_Artificial_%20Intelligence_Upholding_Human_Rights.pdfIn PDF document text
    • https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3518482In PDF document text
    • https://fra.europa.eu/en/publication/2018/bigdata-discrimination-data-supported-decision-In PDF document text
    • https://philmachinelearning.files.wordpress.com/2018/02/gabbriellejohnson_algorithmic-In PDF document text
    • https://privacyinternational.org/long-read/3390/2020-crucial-year-fight-data-In PDF document text
    • https://rightscon2018.sched.com/event/EHqs/addressing-the-digital-divide-in-indigenous-In PDF document text
    • https://timesofindia.indiatimes.com/city/kolkata/court-relief-in-disabled-womans-aadhaar-In PDF document text
    • https://datasociety.net/wp-content/uploads/2018/10/DataSociety_Governing_Artificial_In PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://purl.org/dc/elements/1.1/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://en.wikipedia.org/wiki/MIT_LicenseIn extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://crl.microsoft.com/pki/crl/products/MicrosoftTimeStampPCA.crl0XIn extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://www.microsoft.com/pki/certs/MicrosoftTimeStampPCA.crt0In extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://www.microsoft.com/pkiops/crl/MicCodSigPCA2011_2011-07-08.crl0aIn extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://www.microsoft.com/pkiops/certs/MicCodSigPCA2011_2011-07-08.crt0In extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://crl.microsoft.com/pki/crl/products/microsoftrootcert.crl0TIn extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://www.microsoft.com/pki/certs/MicrosoftRootCert.crt0In extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://crl.microsoft.com/pki/crl/products/MicRooCerAut2011_2011_03_22.crl0^In extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://www.microsoft.com/pki/certs/MicRooCerAut2011_2011_03_22.crt0��In extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://www.microsoft.com/pkiops/docs/primarycps.htm0@In extracted file (font_00_sfnt_off0003f5a2.bin)
    • http://www.microsoft.com/TypographyIn extracted file (font_00_sfnt_off0003f5a2.bin)
    • https://docs.microsoft.com/typography/abouthttp://lucasfonts.comMicrosoftIn extracted file (font_03_sfnt_off0005acde.bin)

Extracted artifacts 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0003f5a2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x3F5A2 121440 bytes
SHA-256: 3c4da0ed1d50827008bd4260ae55b9836e142ed60e328fca9d129ff2ab80f877
font_01_sfnt_off0004ec81.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4EC81 2812 bytes
SHA-256: 6247fa95003632ef41b931df1be93b794b62ee4ad98c5258819cb4b3b7ea6306
font_02_sfnt_off0004f385.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4F385 97724 bytes
SHA-256: 8806c7ecc6a81fd1ddbaa4d34e8e4c020de9c4edb8332a55f450ad83adfbb18a
font_03_sfnt_off0005acde.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5ACDE 81740 bytes
SHA-256: 8968d311fdd8ca6aefb490943eb49835e5a3d5766af51f30fd96e38a9d4f0ea2