Malicious PDF — malware analysis report

Static analysis result for SHA-256 1fe62d0f1394ef8c…

MALICIOUS

PDF

90.3 KB Created: 2021-01-11 11:18:22 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-11-03
MD5: 6bc781e106f24267370e6d04d711117e SHA-1: 3f5f8908b115d934480c5298d53e71d18b911860 SHA-256: 1fe62d0f1394ef8cb15bf6f56004afd1bb49a558bfa64966e7a07f3fa1572de0
156 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript T1203 Exploitation for Client Execution

This PDF file was identified as malicious by ML classifiers and ClamAV, indicating a high likelihood of malicious intent. The heuristic 'PDF_SEO_LINK_FARM' suggests the document is designed to host a large number of external links, likely for SEO manipulation or to distribute further malicious content. One such link points to 'https://traffset.ru/aws?utm_term=funny+questions+and+answers+in+telugu+language', which is likely a lure or a redirector to a malicious site. The presence of embedded links and the overall structure point towards an attempt to exploit users via a malicious document, potentially leading to the download of a second-stage payload.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9996

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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.
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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://traffset.ru/aws?utm_term=funny+questions+and+answers+in+telugu+language PDF link annotation
    • https://laforefuje.weebly.com/uploads/1/3/5/3/135333455/76ff09.pdfIn PDF document text
    • https://mujonesaxofifi.weebly.com/uploads/1/3/4/6/134680030/1640447.pdfIn PDF document text
    • https://site-1174531.mozfiles.com/files/1174531/photo_pip_photo_editor_apk.pdfIn PDF document text
    • https://site-1167947.mozfiles.com/files/1167947/62328780280.pdfIn PDF document text
    • https://juragubiv.weebly.com/uploads/1/3/0/8/130874328/f895c9.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://fedorahosted.org/lohitIn PDF document text
    • https://s3.amazonaws.com/xanunafojuloki/litisizudaruxadoxatufu.pdfIn PDF document text
    • https://s3.amazonaws.com/xanebavifamopez/xisijugabokuka.pdfIn PDF document text
    • https://s3.amazonaws.com/wuvepilamamuse/chaalbaaz_1989_full_movie_hd.pdfIn PDF document text
    • https://s3.amazonaws.com/biwubeleba/sonipobonekamevemibixefop.pdfIn PDF document text
    • https://s3.amazonaws.com/mutirexa/susew.pdfIn PDF document text
    • https://s3.amazonaws.com/nosepevozux/dabubovifidu.pdfIn PDF document text
    • https://s3.amazonaws.com/xufujofaleki/capital_investment_appraisal_questions_and_answers.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000e1ff.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE1FF 5268 bytes
SHA-256: 2ee72eb0498376798378fbad4d4680063b98c8f4b942c8a40f36a603c2e347bd
font_01_sfnt_off0000f40b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF40B 31588 bytes
SHA-256: f653ded9aa18cf2b1e27f99266fb1d2d09a1cfd6652d0f79fa6e9c8d47cc5fbe
font_02_sfnt_off000136ab.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x136AB 11020 bytes
SHA-256: 3636b46fc06644a0ab4aeee6acf8c37aa058cc95c434f55bdab2c3e2e204c572

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