Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167B2DF30A353B83F25AB81E9627123DBB3E2C2C9D6539E0463F983BD5BE6D58EC41055 |
|
CONTENT
ssdeep
|
384:nQ6z+TP9Fxq9I2MZmUaABuGS53/5XgXd1YqaDCAALcsC6KkSvmfYU:nQ66TP9UBAEGSd/b69rSvmfYU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec7a9369343a6c38 |
|
VISUAL
aHash
|
81f1d1f1f1f1fffe |
|
VISUAL
dHash
|
2347272727a3e3ec |
|
VISUAL
wHash
|
80f09191d1f173fe |
|
VISUAL
colorHash
|
06088003000 |
|
VISUAL
cropResistant
|
2347272727a3e3ec,895151525251518d,006090911120c000,3939879bcf0f3782 |
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 112 techniques to evade detection by security scanners and make reverse engineering more difficult.