Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109D2A571A1502A3F12ABC3C9B351F31EA3E39249DB4A081553FD875D9BD7DA0ED2312A |
|
CONTENT
ssdeep
|
768:0Szy5NawA5VGfJqjnsiUVNaJ4eFja7sOy2+y9BH4cLIe:qAyi0aJvNa7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53ab01cb9c5 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c3c3c8c9c9c100 |
|
VISUAL
wHash
|
64fb70340000ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
d200a00158d88000,c8c3c3c2cdc989c2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.