Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9436C33E7267D7D53CB41DEFB3C9A52F3C04498E556812479C8929E13C2CC2A25ABB5 |
|
CONTENT
ssdeep
|
1536:aE+EsZ/8xja7OtDawKMqBvwrMqBuwcN2/y9dGXDiJZBlvy40hxwW:aFqjaqswswQFN2aDSw09 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6f1a695bc2c0c0 |
|
VISUAL
aHash
|
81838387839fbf9f |
|
VISUAL
dHash
|
53574f67177e603a |
|
VISUAL
wHash
|
81838383838fbf9f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
53574f67177e603a |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.