Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178435CE47551F2259A7342E780AF3917333D242F6C0C05A0F269EEDEA1B449AB067FD9 |
|
CONTENT
ssdeep
|
768:FYpYjHyimTpiAGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:Kmynpvzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cece9b31666464 |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
0d20869e9e9e1c0e |
|
VISUAL
wHash
|
00dfc3c3c3c3c3c7 |
|
VISUAL
colorHash
|
07400200018 |
|
VISUAL
cropResistant
|
0d20869e9e9e1c0e,fef9e9c1e1e7cca9,3430383cbcbc9c1c,03bc9a9a9a9adaca |
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.