Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193B28370514AA47B0107E1EADA357B0970E293BEDE1B171111F86FFE3AD2CA4EC36169 |
|
CONTENT
ssdeep
|
384:hchtVW4Ri700OYKxpfHyr/TY5bhPpavi32Kghp63NRsakdI:hcht4SK00OYKxpfHyr/TY5bhPpaK7ghm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9579ad35ac252d29 |
|
VISUAL
aHash
|
d3cc08404c060737 |
|
VISUAL
dHash
|
a2989aba98ac8e6e |
|
VISUAL
wHash
|
fbcc4a486c46073f |
|
VISUAL
colorHash
|
3a600008400 |
|
VISUAL
cropResistant
|
a2989aba98ac8e6e |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.