Malicious PDF — malware analysis report

Static analysis result for SHA-256 870edaf93992afc2…

MALICIOUS

PDF

71.2 KB Created: 2020-12-21 11:40:16 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-27
MD5: 89550c147efb41aaba60a5bdb06e4cc6 SHA-1: d3cb69d9606a2e99892bea09b4d3aef419f2128d SHA-256: 870edaf93992afc260c7b3e19b665703b9d7a4bc8d6b630d9d9223d2f727c7ed
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, with at least one pointing to a known malicious redirector. The ML classifier and ClamAV detection strongly indicate malicious intent, likely related to phishing or malware delivery. The document body, though heavily obfuscated, contains text related to travel advisories, suggesting a lure.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

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://traffine.ru/strik?utm_term=cuba+travel+advisory+canada+2019 In PDF document text
    • https://wobadudubabu.weebly.com/uploads/1/3/4/5/134510413/414d83628ec8.pdfIn PDF document text
    • https://mogilifus.weebly.com/uploads/1/3/0/7/130739831/5401885.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/752095d6-00d6-40f3-aaac-5fbdf9d1d646/bisidopewuvizokadetokori.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d0ca3104-47a3-4b4d-a0c7-bdd795c6c2c0/72754688660.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/37599657-9569-4240-abd9-d430c9e05b6e/88693647806.pdfIn PDF document text
    • https://s3.amazonaws.com/vavabi/74751120782.pdfIn PDF document text
    • https://static1.squarespace.com/static/5fc14892f9866f3fd2d6f995/t/5fc3031fa97599144e5b7afc/1606615839724/superior_stone_and_cabinets_phoenix_az.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f8ce731d-c8b1-47fb-b73f-4ddf6ab47b46/30699787121.pdfIn PDF document text
    • https://static1.squarespace.com/static/5fc7bc2ea4d75e5252f6a625/t/5fca0065196a600d3c36cb2e/1607073893968/dsa_rank_and_file_strategy.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8320491e-df28-450b-b33c-12377c4edc93/54483196902.pdfIn PDF document text
    • https://static1.squarespace.com/static/5fc3486312facd59cebc5192/t/5fd61dc672b1137fa96da630/1607867846819/sepsis_diagnosis_guidelines_2017.pdfIn PDF document text
    • https://static1.squarespace.com/static/5fc5bb7a68612547ed7f1815/t/5fcbab3a551bdc47e7ad2041/1607183162403/find_your_ideal_nickname.pdfIn PDF document text
    • https://s3.amazonaws.com/wunojipu/crowder_read_red_letters_song_lyrics.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_off0000d8ff.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD8FF 5624 bytes
SHA-256: 3392becd895b1e1adbd92ab574d2859c9ab7cc7dc268009199063f6d57e1dafa
font_01_sfnt_off0000ec28.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xEC28 10764 bytes
SHA-256: cbffd023b6de873b98ec52333146600f090d811e4dabd4bbf5f6f8c5cf73512c

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