Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D733C7207201B76958330F78B38B34AAD1DF8785F5D1F86DB655A32575E303AC286CBA |
|
CONTENT
ssdeep
|
1536:2mO0wA3wnH+HR16o3E4t7eqSJqDZ7U1c/IOQB8:VZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5659a9a338c9e64 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
398696969e000660 |
|
VISUAL
wHash
|
00c3c0c0c0f8f090 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
398696969e000660,b2e3db93db9b9f78,b0a9ec696529597e |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.