Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186D2B731B150273B119BC3C97711F36EA2D3564DEA46090593FD83AE4BE7D50EE2352A |
|
CONTENT
ssdeep
|
768:zSzy5NJUL5x2BjycTzTvFSKf7sOy2+y9BH4crIe:yvQeMfvFSW7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361d53a963cb9c1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3eccdc9c500 |
|
VISUAL
wHash
|
64fb70140001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
e400a00158d88000,c8c3c3e2cdcdc9c4 |
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.