Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119E3A47022456E3FA187C3D5FB713B69A399C38AC61BC54CE2F842569FC2C85FC66294 |
|
CONTENT
ssdeep
|
1536:tPY0TRw+MiipRJURuMcKINNNNONNNNBNNN/NNNNWNNNNHNNN7CNk7d:1Nv2Ak7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2e0fd0cbe18bf80 |
|
VISUAL
aHash
|
df60ec44700018ff |
|
VISUAL
dHash
|
b6c989ace431b24c |
|
VISUAL
wHash
|
ff604d7c700018ff |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
b6c989ace431b24c |
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 117 techniques to evade detection by security scanners and make reverse engineering more difficult.