PDF static analysis report

Static analysis result for SHA-256 370d2c3ed33892d2…

SUSPICIOUS

PDF

37.0 KB Created: 2021-05-23 13:38:42 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-09-27
MD5: 7171b951ac248ac7e2d8302f565313c8 SHA-1: 48030d3c55520ef448300ec3ccd6695cb1823ea7 SHA-256: 370d2c3ed33892d2b71240da6c08cfb3359e3d17693d18b2b06e0aa5d6347cef
42 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF document contains a lure for free TikTok likes and includes a prominent call-to-action to download a file from a suspicious URL. It also embeds multiple links to other PDF files hosted on the same domain, suggesting a coordinated phishing or malware distribution effort. The ML classifier also flagged this PDF as malicious.

Machine Learning

  • Nyx PDF Classifier malicious score 0.7010

Heuristics 3

  • Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTON
    Document contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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://netcdn.xyz/app/835599320/get-free-tiktok-likes-game-hack PDF link annotation
    • https://ogm-goettingen.de/images/i-want-free-robux_GM431946152.pdfIn PDF document text
    • https://ogm-goettingen.de/images/roblox-hack-me_GM431946152.pdfIn PDF document text
    • https://ogm-goettingen.de/images/free-coin-master-spins-and-coins_GM406889139.pdfIn PDF document text
    • https://ogm-goettingen.de/images/get-free-spins-link-in-coin-master_GM406889139.pdfIn PDF document text
    • https://ogm-goettingen.de/images/coin-master-hack-xyz-download-free_GM406889139.pdfIn PDF document text
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_002_off00003106.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x3106 23936 bytes
SHA-256: 943fffe0434dfc4b64942044157fa01a2508909a9b9f810b7f9b5b337056ee3b
font_01_sfnt_off000067b5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x67B5 2896 bytes
SHA-256: c1a618813a64314343402b2ec738fc11c4c912460a4c7ae3029924d2f9a229cd
font_02_sfnt_off0000719b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x719B 17456 bytes
SHA-256: c397690cc80b7cdd5818f6212e28c5067632df1cbe38d70f20361ec61b14abd9

Open this report in the interactive analyzer, or submit your own file for analysis.