Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1673122A19004AC2EC233F1DA8BB177D322D0B248CBC62B4105FD52AA9EEDE54FD01581 |
|
CONTENT
ssdeep
|
24:hauy6tYJpXdhaSFLNHNbaH7Ha8q9XZlqG/HahXZlRAXP4UHFr:3hcpXdZ5tb+7HaLZqG/HalRAf4U1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a323a2e27272f0f6 |
|
VISUAL
aHash
|
e7ffff0000ffffff |
|
VISUAL
dHash
|
08c8005111000000 |
|
VISUAL
wHash
|
e728000000ffffff |
|
VISUAL
colorHash
|
07000230008 |
|
VISUAL
cropResistant
|
08c8005111000000,4101111111110141 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.