Malicious PDF — malware analysis report

Static analysis result for SHA-256 4af9005b591415c4…

MALICIOUS

PDF

32.2 KB Created: 2021-07-19 07:28:35 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2026-06-04
MD5: af4dbd5e3c53b312b4431055b003c2b0 SHA-1: 53d337f4884540a275fc881f6e52db046c2f8397 SHA-256: 4af9005b591415c441d9308ea186ec10a897df3b930215b429954480485fd39f
160 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1203 Exploitation for Client Execution

This PDF document contains multiple links to known malicious redirectors, masquerading as "free generators" or "game hacks" for popular games. The document body and embedded links explicitly promote these lures, aiming to trick users into visiting the malicious infrastructure. The presence of multiple redirector links and the ML classifier's high confidence score indicate a strong likelihood of malicious intent, likely to lead to further malware downloads or phishing attempts.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9900

Heuristics 4

  • PDF links to a 'free generator / game hack' redirector critical PDF_GAME_HACK_REDIRECT_LURE
    PDF's clickable action targets a redirector of the form /app/<id>/<slug>-game-hack — the landing-page shape of a large SEO 'free spins / generator / game hack' lure family that funnels victims through rotating disposable hosts to a malware/scam payload. The multi-link variants also trip ML/link-farm rules; this catches the single-link variants that otherwise score clean. CRITICAL on its own: the /app/<id>/<slug>-game-hack path shape is unambiguous scam infra, and the host rotates so a host-list match can't be relied on.
  • 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.
  • 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
  • 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 http://netcdn.tw/app/479516143/how-to-setup-a-minecraft-server-for-free-game-hack In PDF document text
    • http://ledtherapysystems.com/images/free-tiktok-fans-no-verification_GM835599320.pdfIn PDF document text
    • http://ledtherapysystems.com/images/free-minecraft-java-edition_GM479516143.pdfIn PDF document text
    • http://ledtherapysystems.com/images/free-roblox-hack_GM431946152.pdfIn PDF document text
    • http://ledtherapysystems.com/images/minecraft-hacks-115-2_GM479516143.pdfIn PDF document text
    • http://ledtherapysystems.com/images/free-robux-scams_GM431946152.pdfIn PDF document text
    • http://ledtherapysystems.com/images/minecraft-games-to-play-for-free_GM479516143.pdfIn PDF document text
    • http://ledtherapysystems.com/images/daily-free-spins-for-coin-master_GM406889139.pdfIn PDF document text
    • http://ledtherapysystems.com/images/free-minecraft-account-generator_GM479516143.pdfIn PDF document text
    • http://ledtherapysystems.com/images/coin-master-free-spins-2021_GM406889139.pdfIn PDF document text
    • http://ledtherapysystems.com/images/buy-robux-free_GM431946152.pdfIn PDF document text
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00002bf8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x2BF8 21812 bytes
SHA-256: c2db66194a367088b365ab47cb0c41d214c04f6c4a6ee51b73c6f30cbc1714bf
font_01_sfnt_off00005bec.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5BEC 18304 bytes
SHA-256: b0360e651ad81bf5acbb1fd73200378f36351cb2aebcef0077014d987ef32c64

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