Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9E1FEE1D451ED37031386D8A7BA7B0B7392C749CF470A4497F483ABABDACA0CB15589 |
|
CONTENT
ssdeep
|
192:QqlingknzD715ct8iIGwyYMlL7yYMlE2TwyzczGqw:Qql3kznm1ZwLMlL7LMlE2TZlqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b131ce4ece1a9a |
|
VISUAL
aHash
|
efcfcfffffffff00 |
|
VISUAL
dHash
|
9e9e9a1604080000 |
|
VISUAL
wHash
|
0000000000000000 |
|
VISUAL
colorHash
|
07e00008040 |
|
VISUAL
cropResistant
|
1e9e9a1e06180000,31194666a6b4a161,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.