Malicious PDF — malware analysis report

Static analysis result for SHA-256 86eec662059a2b81…

MALICIOUS

PDF

69.5 KB Created: 2021-01-23 00:10:05 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-12
MD5: cd390091454c810e583850ab5b443af3 SHA-1: ba56bc8b52de9ffc11b91e283fbcb892c420f186 SHA-256: 86eec662059a2b813a4848e7fd058b31936fb66cdd1eb3043257cdd8c45fa685
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, many pointing to external PDF files, and one critical link to a known malicious redirector. The ML classifier and ClamAV detection strongly indicate malicious intent. The document body, though truncated, suggests a lure related to 'Calculator apk uptodown', aligning with the redirector's UTM parameters.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0
  • 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.
  • 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://traffking.ru/aws?utm_term=calculator+apk+uptodown In PDF document text
    • https://cdn.sqhk.co/tumupowe/bJhdfig/64421733648.pdfIn PDF document text
    • https://cdn.sqhk.co/rosomugimo/gcQgd0d/12966290920.pdfIn PDF document text
    • https://cdn.sqhk.co/baluwofuk/6HbwMGF/lost_lands_hidden_object.pdfIn PDF document text
    • https://cdn.sqhk.co/tefozakozup/wgfhgu8/kumpulan_lagu_didi_kempot_lengkap_offline_download.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4486534/normal_5fee11f60f649.pdfIn PDF document text
    • https://mafupalitofix.weebly.com/uploads/1/3/4/0/134042392/zeref_meduxuredabe_povotufufexomuf_porijil.pdfIn PDF document text
    • https://disovipogazita.weebly.com/uploads/1/3/1/3/131398104/6868322.pdfIn PDF document text
    • https://cdn.sqhk.co/wuvinudubuno/YiahhN4/diablo_3_death_s_breath_farming_2019.pdfIn PDF document text
    • https://cdn.sqhk.co/ruwonumatag/gejaijw/24518363002.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4468267/normal_5fcf8bf032300.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://s3.amazonaws.com/vavebufevodutob/code_review_findings_template.pdfIn PDF document text
    • https://s3.amazonaws.com/mudurixo/argyle_street_management_limited_annual_report.pdfIn PDF document text
    • https://s3.amazonaws.com/papuja/3103473996.pdfIn PDF document text
    • https://s3.amazonaws.com/niporofez/pathological_laughing_and_crying_scale.pdfIn PDF document text
    • https://s3.amazonaws.com/xeroguru/wutujujatinovavapu.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_off0000c825.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC825 4784 bytes
SHA-256: 61e8442f0472246ab1348602de455e859e6595aedf00213fb19e5245127e8fdb
font_01_sfnt_off0000d886.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD886 10224 bytes
SHA-256: 5e23ff7a53b56a8e262850b21a5e3ac5e4e8f684b5b939244f07f79bb888257f
font_02_sfnt_off0000fb22.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xFB22 4324 bytes
SHA-256: ff5f0ef16caf3e97cd1984b3a03ea88e11eab8cf63d2ee006085a4b9995833f3

Open this report in the interactive analyzer, or submit your own file for analysis.