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商品編號:ULE2560 碟片數量:1片 銷售價格:80 瀏覽次數:7081
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商品描述
StegAlyzerAS NET v3 0 Cracked-iNViSiBLE英文正式版(數位取證工具軟體)
破解說明:
破解檔放置於crack夾內,請將破解檔複製於主程式的安裝目錄內既可破解
軟體簡介:
StegAlyzerAS NET v3.0英文正式版(數位取證工具軟體)
相關網址:
http://www.sarc-wv.com
安裝序號:
中文化說明:
內容說明:
數字取證工具軟體
英文說明:
The Steganography Analyzer Artifact Scanner
(StegAlyzerAS) is a digital forensic analysis
tool designed to extend the scope of traditional
digital forensic examinations by allowing the
examiner to scan suspect media, or forensic
images of suspect media, for known artifacts of
steganography applications.
Residual artifacts may be identified by scanning
the file system as well as the registry on a
Microsoft Windows?system. StegAlyzerAS allows
for the search of files by using CRC-32, MD5,
SHA-1, SHA-224, SHA-256, SHA-384, and SHA-512
hash values stored in the Steganography
Application Fingerprint Database (SAFDB) and
registry entries stored in the Registry Artifact
Key Database (RAKDB) distributed with StegAlyzerAS.
StegAlyzerAS has been found to be effective in
identifying file and registry artifacts known to
be associated with steganography applications by
the Defense Cyber Crime Institute (DCCI).
破解說明:
破解檔放置於crack夾內,請將破解檔複製於主程式的安裝目錄內既可破解
軟體簡介:
StegAlyzerAS NET v3.0英文正式版(數位取證工具軟體)
相關網址:
http://www.sarc-wv.com
安裝序號:
中文化說明:
內容說明:
數字取證工具軟體
英文說明:
The Steganography Analyzer Artifact Scanner
(StegAlyzerAS) is a digital forensic analysis
tool designed to extend the scope of traditional
digital forensic examinations by allowing the
examiner to scan suspect media, or forensic
images of suspect media, for known artifacts of
steganography applications.
Residual artifacts may be identified by scanning
the file system as well as the registry on a
Microsoft Windows?system. StegAlyzerAS allows
for the search of files by using CRC-32, MD5,
SHA-1, SHA-224, SHA-256, SHA-384, and SHA-512
hash values stored in the Steganography
Application Fingerprint Database (SAFDB) and
registry entries stored in the Registry Artifact
Key Database (RAKDB) distributed with StegAlyzerAS.
StegAlyzerAS has been found to be effective in
identifying file and registry artifacts known to
be associated with steganography applications by
the Defense Cyber Crime Institute (DCCI).
