Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1241200726106AD33038792D0AF716B0E67C3424ACEA70B8665F4975FBBDAC81CE1158F |
|
CONTENT
ssdeep
|
96:E6q0tVVQO7V6LxMEw1JfsdsZs/s7s1CfnDo1ZV9HaoeoGb865J+yVSQNGJuzfHR8:FQeSxMEoNg8wJuLxm/UsR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
989819e5676767a2 |
|
VISUAL
aHash
|
3c1e9e203cff0000 |
|
VISUAL
dHash
|
d03838465040f069 |
|
VISUAL
wHash
|
3c9e1e7cfefe0000 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
e0f4e1f0f4f4f4ac,d03838465040f069 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)