Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163534CE43751F3255E7302E740AF7416733D752B280C09A0B269E9DAE6B44EAB067FC9 |
|
CONTENT
ssdeep
|
768:FtUVYj2hPySIIIqzkTpiTGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:zUVhKSGqzGp8zev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19bce649931c666 |
|
VISUAL
aHash
|
ffffc3c3c3c3c3c3 |
|
VISUAL
dHash
|
4e20969e9686868e |
|
VISUAL
wHash
|
20dfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e200200038 |
|
VISUAL
cropResistant
|
4e20969e9686868e,98d8d8c898c86060 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 33 techniques to evade detection by security scanners and make reverse engineering more difficult.