Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D402F120200CD2AB196377559FB7E295A052638BE326C57442E3037CFB41FBB4DE6C66 |
|
CONTENT
ssdeep
|
96:MlwHKd1xEVWVy4ZlMhy3EvX4erv+9YadB9qcmEaIxIsu+0IfZ8oomzpuZtognLYn:qwHKd3CVo9V15efoWy/jLhl0aO9By |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92926d6dd3679292 |
|
VISUAL
aHash
|
000c2e2e0e0c0018 |
|
VISUAL
dHash
|
963cecccec7c53b0 |
|
VISUAL
wHash
|
400e7e7e1e0e08ff |
|
VISUAL
colorHash
|
30000007000 |
|
VISUAL
cropResistant
|
0f0cba27907961cc,963cecccec7c53b0 |
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.
Pages with identical visual appearance (based on perceptual hash)