Malicious PDF — malware analysis report

Static analysis result for SHA-256 cd81f03345fa7ef1…

MALICIOUS

PDF

39.4 KB Created: 2020-08-23 00:57:55 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-05-08
MD5: 400a6e3517fbcc66235b97d141021607 SHA-1: edfa6d9220f833abd7fb5e6325f2ba3ad12c8494 SHA-256: cd81f03345fa7ef1ee2dbbb37059a574c4c4b03362fbc277d3a38953c9ab7767
234 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell T1204.002 Malicious Link

The PDF file contains a heuristic firing for a malicious redirector link, pointing to 'https://ttraff.com/pify?keyword=caleta+de+famara+surf+report'. The document body, though heavily obfuscated, contains this URL and appears to be a lure related to a 'surf report'. The presence of numerous other embedded links, many hosted on shopify.com but some on unknown domains, suggests a link farm or redirection strategy. The 'SE_LOLBIN_RUN_COMMAND' heuristic indicates that the document may contain instructions for executing commands, potentially to facilitate further malicious activity.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • 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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • LOLBin token sequence in document text high SE_LOLBIN_RUN_COMMAND
    Extracted document text contains a Windows script/execution tool name (PowerShell, mshta, cmd, rundll32, regsvr32, …) within 220 characters of a dangerous flag, command verb, or URL. This is a visible 'run this' instruction in HTML/PDF/RTF lure bodies, or — in macro-laden Office files — the macro's own string-pool entries appearing adjacent in extracted text.
  • 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/pify?keyword=caleta+de+famara+surf+report In PDF document text
    • http://files.whiskersnwagspet.com/uploads/1/3/1/3/131384121/7736224.pdfIn PDF document text
    • http://files.curlydoodles.com/uploads/1/3/2/6/132681464/2176131.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://cdn.shopify.com/s/files/1/0431/1462/7234/files/getting_the_love_you_want_workbook.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/8525/7112/files/23634609451.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/4179/1900/files/21863359185.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/3705/6411/files/31783965769.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/5981/4306/files/regipabevakasudowena.pdfIn macro / runtime command snippet
    • https://cdn.shopify.com/s/files/1/0439/2737/1931/files/73431913062.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/8211/3433/files/cell_biology_notes.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/9482/6396/files/metaphor_worksheets_ereading.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/1358/6596/files/passport_application_form_for_govt_employees.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/6317908028.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_off0000507e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x507E 4936 bytes
SHA-256: 180339ee38f4d5d5bd646a96331cf9ed8d24e389a7964b6c0f927ac0d62ed95c
font_01_sfnt_off0000614f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x614F 9852 bytes
SHA-256: 21625405e2533aeb366e7738297241792eb4ea4619cf61c10cce6cd2b66569a4
font_02_sfnt_off00008316.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8316 4324 bytes
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34