Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129532BE43751B2204A7301E741AF3555733DB62B181C0AA0B269D9A9EAB84F6B017FCD |
|
CONTENT
ssdeep
|
768:FDYj2XPwikMhOs0Vv02TpiVGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:FXYiHhJ0Vv0YpIzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1659e8e61619b66 |
|
VISUAL
aHash
|
ffffc3c3c3ffffff |
|
VISUAL
dHash
|
4e208e9e8618161e |
|
VISUAL
wHash
|
00dfc3c3c3c7c3c3 |
|
VISUAL
colorHash
|
07000600030 |
|
VISUAL
cropResistant
|
4e208e9e8618161e,8b460c8c8c885c59 |
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.
Pages with identical visual appearance (based on perceptual hash)