Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13673099A6455601A472740E384BB1FC9B7391C2FF92911E1A4B8C7E5B3ECCF1316AB4B |
|
CONTENT
ssdeep
|
768:myWuPWy/L1u5/u15/8n+sLv9CN6ZDSI5M6zqFvSj6BzWHlFFqX8U32ZwKlW+8A4L:u5cLSyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cc31ce61cdcccc |
|
VISUAL
aHash
|
cbcfcfcfffffcfc7 |
|
VISUAL
dHash
|
169e161e16069e9e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c7c2 |
|
VISUAL
colorHash
|
07e00000200 |
|
VISUAL
cropResistant
|
169e161e16069e9e,9f6bf4d4f64c4ec6 |
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 476 techniques to evade detection by security scanners and make reverse engineering more difficult.