Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120923472B345553B01A3E7DAA771A32F3686834DDA830BD6A3E8C36C1EC6DE5DD21204 |
|
CONTENT
ssdeep
|
192:4yPjnLgHrGn4vRlQ4LJWgairFO4TYpLVTyypiFVVYeIYgOpGjRJoTc0gSVd/BBp+:xXgHrGqWgaiFVVYeIYgOpGD0gGd/ZRk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73430cdcf926565 |
|
VISUAL
aHash
|
0400003c3c3c3c3c |
|
VISUAL
dHash
|
ccbccc7070706870 |
|
VISUAL
wHash
|
3c1c243c3c3c3c3c |
|
VISUAL
colorHash
|
03000000180 |
|
VISUAL
cropResistant
|
2b7f17e139596d69,2a2a5bdea6556968,ccbccc7070706870 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.