Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122234B726722B8B843DB91DEFB383D96B2C1588DF8C74454B6C95A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aB+EsZx8/G8vRF4UDaw6MqBLwFMqBqwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvF:aB+EsZ/8pOUDaw6MqBLwFMqBqwcN2/ye |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef9090d54b66b4c5 |
|
VISUAL
aHash
|
ffff818181818181 |
|
VISUAL
dHash
|
4971456961616569 |
|
VISUAL
wHash
|
ffff9f8181818181 |
|
VISUAL
colorHash
|
31002600040 |
|
VISUAL
cropResistant
|
4971456961616569,c336749296d2da25,9ed151c485b2b28c,307107c8d0c0c0c0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.