Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE24197021167267152367E72062BB0BB1D5830CD927CD10A3AFEDD66BF8CC886E67D6 |
|
CONTENT
ssdeep
|
3072:MqQdPYv0kNtMNtyGtPw9miPTyhehrGJXu+yGyCRLw+e6OTvVMlFTYuu9/PUhGw5W:HqtAzltTGzJVly |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2ec1bc9cb5e2685 |
|
VISUAL
aHash
|
fd5d76707b740c04 |
|
VISUAL
dHash
|
9191e4c5c7ccd9ed |
|
VISUAL
wHash
|
ff5c527079743c04 |
|
VISUAL
colorHash
|
07200018200 |
|
VISUAL
cropResistant
|
9052531313173737,c6de842428042428,9191e4c5c7ccd9ed |
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 387 techniques to evade detection by security scanners and make reverse engineering more difficult.