Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0B17707A790331507631266788E47F1D364C80AE72605FCA0F5829C77D5A6E9E7B2EA |
|
CONTENT
ssdeep
|
96:Txk2WIq53Mz03fgMYnL28G0yTaItrN2mvgSu8lvKE4U4Q/xWx:9jqlMZXy8GTaIJNBVu85wUyx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d24f4f524da4b09b |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
60601096189c5898 |
|
VISUAL
wHash
|
0000dfc3cf85ff8d |
|
VISUAL
colorHash
|
06000000e80 |
|
VISUAL
cropResistant
|
f19406589c8c789c,0000686900600000 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.