Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC234B726332B87843DFA2EDF7382A45B2D2598EE8CB4550B5C956CD13C3C806697BB4 |
|
CONTENT
ssdeep
|
768:a3Bc+EsZx8/G82F4Q6Dat1M7BdtJ1M7BPUcix+y9dQpUDF1E56ITmHDLBABW8KPv:a3Bc+EsZ/82OQ6Dat1M7BdtfM7BPUXxJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc46c93913bc0 |
|
VISUAL
aHash
|
8181858d8181ffff |
|
VISUAL
dHash
|
69014949494d0300 |
|
VISUAL
wHash
|
8181858d8581ffff |
|
VISUAL
colorHash
|
1e000030000 |
|
VISUAL
cropResistant
|
69014949494d0300,2a33aa2a2a3a32cc,6c00888888888c4c |
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.