Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D23713250A655330263A0C6A2B1271AA3DAC346CA5F17C5EAFD47DCBFCAC55EC93221 |
|
CONTENT
ssdeep
|
768:ldOE/6J8jJKmeCwUvee85AH+UFee8U4itqeReed2eeeYOR1N+8+nuo:nO06J8jgmeCwSeeAzweeL4uqeReed2e0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c31f38d48ee38b1c |
|
VISUAL
aHash
|
80002c7c7e7c6001 |
|
VISUAL
dHash
|
3118c8c0f4c0d805 |
|
VISUAL
wHash
|
9c087c7e7e7c6c01 |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
3118c8c0f4c0d805 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.