Malicious PDF — malware analysis report

Static analysis result for SHA-256 274ccac7fb722fcc…

MALICIOUS

PDF

71.3 KB Created: 2020-11-10 14:52:40 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-15
MD5: 8c705690d8e4d9bc0f45a821165b7d90 SHA-1: ee7273b14dfa444025166475a4adfab16b76e732 SHA-256: 274ccac7fb722fcc8ce6dbe6cd8bb0c9361b6f935d0cb516c61a3d58810d0104
214 Risk Score

Malware Insights

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

The PDF file was identified as malicious by multiple heuristics and a machine learning classifier, with ClamAV detecting it as a phishing trojan. It contains a significant number of embedded URLs, including a critical finding of a link to known malicious redirector infrastructure. The presence of a large link farm suggests an attempt to manipulate search engine results or distribute traffic to various malicious sites.

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://gettraff.ru/aws?keyword=penguin+massacre+unblocked In PDF document text
    • https://cdn-cms.f-static.net/uploads/4402951/normal_5f927c99dad8f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366984/normal_5fa74df6b5655.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370737/normal_5f882062a6579.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4418199/normal_5f9e70f3a901a.pdfIn PDF document text
    • https://pulisojoperun.weebly.com/uploads/1/3/4/4/134487891/4179452.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370744/normal_5f8823cb838f9.pdfIn PDF document text
    • https://kilesikawagex.weebly.com/uploads/1/3/4/3/134372597/ecfadf5d38993cd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374203/normal_5fa1739f22f3a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4407795/normal_5fa84ee835ffd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4407756/normal_5fa211e593d51.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/700c2845-c112-4587-8b1f-6516a434fdfc/rojujozidipizix.pdfIn PDF document text
    • https://s3.amazonaws.com/jujojomojemiz/best_mistake_lyrics_ariana_grande.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/73b69712-2c80-4ef5-ab8d-a1385f06ad76/94612804675.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ade99d76-c285-48ba-95c3-aa895df02d3f/90600272093.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5966f1ad-b43d-4de9-bfc4-02cb22061120/labitebimobir.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
    • http://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000b4f3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB4F3 5464 bytes
SHA-256: 07ed447136d8e94fa8dd1ae03caf2a65a14c3394de82a85facdb6a5ea06e306e
font_01_sfnt_off0000c771.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC771 14492 bytes
SHA-256: ea6e5fdfd0bc34fb337ddacef613fa0b1f570e0f5e678b35ba3a1d6f5a7ad260
font_02_sfnt_off0000f635.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF635 17652 bytes
SHA-256: cc4ffa8e5ff48a6aad97b90752937918102f770cb2cbcafa3b689da0338798bb