Malicious PDF — malware analysis report

Static analysis result for SHA-256 8e5f3a81acbcd098…

MALICIOUS

PDF

34.7 KB Created: 2020-10-24 23:08:48 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-15
MD5: 5f6b030054cef68a1248dae5a14b5286 SHA-1: 3edeb1407a1f42753754ea3412bb0132c985ab35 SHA-256: 8e5f3a81acbcd0986846e7cccbcff938838f733ed0bf3679e0bdc48b59e1db82
152 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 'https://ttraff.link/aws?keyword=pdf+to+word+converter+pro+apple'. This link is presented within the document body, suggesting a social engineering lure to trick users into clicking it. The PDF also exhibits characteristics of a link farm, with numerous embedded URLs, many of which are benign but likely used to mask the malicious redirector. The ML classifier strongly flagged this PDF as malicious.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 3

  • 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.
  • 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.link/aws?keyword=pdf+to+word+converter+pro+apple In PDF document text
    • https://cdn-cms.f-static.net/uploads/4393016/normal_5f8e9f4a102d4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366007/normal_5f875a64a5d43.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370285/normal_5f8a5fbb98d32.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4409826/normal_5f9423eaba78c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370068/normal_5f890fb7cf900.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4389352/normal_5f937b3c2f7dc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393499/normal_5f8e5dd67af09.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369315/normal_5f8cb801897fe.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/1684/5469/files/nextcloud_android_app_slow.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/2524/3040/files/43859101226.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/1188/9573/files/73907184458.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0483/0891/2291/files/jegikigur.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/3293/9166/files/gagigadipudotiw.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d345aab6-e7d3-4282-a223-d71c53f0c0a7/sarexadimodipixisadi.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/678d00fd-32d9-40ab-90b4-f9f97be00b86/sinofokobekopeno.pdfIn PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00007327.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7327 5124 bytes
SHA-256: a453945f425f04176c806eca008b9762ebc48516dbadce2e8e5b1f3058a6c91e