Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FF1EE7261049EB30283E3E5E775E76F3A86D346CE931746B3E9974D0EC6C9ACD50214 |
|
CONTENT
ssdeep
|
96:2HPzHCvHMmB5vx+BO4vRl8voOBvlPoy0RJoTONP3d2:AiPMmTvP4vRldRJoT8E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c6c939393866c |
|
VISUAL
aHash
|
818183ffffffffff |
|
VISUAL
dHash
|
2b27270023000000 |
|
VISUAL
wHash
|
80800131007e3c3c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
2b27270023000000,745836f815150d29 |
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.