Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175A37A33415835274437C6D530A55B3BE2E69A9FFAE70A010EECD7EA1BFAC60744B11A |
|
CONTENT
ssdeep
|
1536:JHLz4NP/y9svbliCdeJTgFtiuCa28y2O9:1mA5R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762fc389969c543 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c0cc849cdcf61f8 |
|
VISUAL
wHash
|
00f4f0200f05ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c0cc8c8e9cdcf61 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.