Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195535CE83751F2255E7342E740EF3416333EB52B180D09A0A269E9D9E6B44F6B067FC9 |
|
CONTENT
ssdeep
|
768:FnYj6yPk2Cw7PPV1OW361RTTpiVGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+ul:pyEwQXpczev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b119cece3131cd66 |
|
VISUAL
aHash
|
ffffcfc3c3ffefe7 |
|
VISUAL
dHash
|
4c309e9e9e161e1e |
|
VISUAL
wHash
|
20cfc3c3c3c3c7c3 |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
4c309e9e9e161e1e,fc73fdfdd7dbbe9c |
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.