Malicious PDF — malware analysis report

Static analysis result for SHA-256 0368190a50c6b63e…

MALICIOUS

PDF

44.4 KB Created: 2020-09-06 12:47:34 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-26
MD5: 6e1e5ca1b50c84e8f86537466099e7d0 SHA-1: b1163b7e9eb1e8f7a24f124fe5647f45b6af7994 SHA-256: 0368190a50c6b63eb7d08f42ff3eab1fb68bdaca530495816ef526d55274d098
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a heuristic firing for a malicious redirector link pointing to 'ttraff.com', and a lure for MFA/one-time-code harvesting. The document body, though heavily obfuscated, contains the URL 'https://ttraff.com/wix?keyword=icloud+photos+android+app', suggesting a phishing attempt related to account security or app access. The presence of numerous other PDF links further indicates a link farm designed to distribute malicious content.

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.
  • MFA / one-time-code harvesting lure high SE_MFA_LURE
    Document asks for a one-time code, authenticator approval, or MFA confirmation — consistent with credential phishing kits that steal session tokens or abuse multi-factor authentication
  • 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.com/wix?keyword=icloud+photos+android+app In 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/d1d005_5d6b7d876c1d4d31842fe76fe03279e3.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/bfd78a_f2ef60b866d24f7e84900635db7604d6.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/affb4a_53dc25bca15547e29499c5f0640acbfc.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/cb4a18_a20b4554c3a84e03af38d028b446d57e.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/ad2ade_4b9bdf6ae12d42a5a8b68114e40b8d08.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/3121/5780/files/97886566756.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0430/9296/7581/files/consecuencias_del_accidente_de_chernobyl.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/21e6f2_5cb828ba1819421e9012403907c0d12d.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/a18aa6_352543e13c1c4b2db33f39fa037e4d15.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/b4bf80_fa9be2150811417095a557af6d1a2298.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/f4de5e_af4f951d2f7a4b4c9768158e1f970a26.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/8acad3_0003ed42c04e4f70ac041534759b32bb.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/9613/6098/files/73554250022.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/2613/6743/files/data_structures_and_algorithms_in_python_2020.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/3745/7575/files/pibabajaseden.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_off0000716f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x716F 5100 bytes
SHA-256: ddfa4e16b4496d22d90aaa7dab95a11e393572d303786f79124743d5266c03ba
font_01_sfnt_off000082ba.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x82BA 10072 bytes
SHA-256: e5661c6c9224b8a6a1aa751f28bdc0b758008183b55e25b1d3151e7daab5c22c