Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A081DD13308C292B07B6A34D7D51E76DA79341938B690E4225A48E4FBEF3F528C151EF |
|
CONTENT
ssdeep
|
48:T/q2pHDYWXDu+IZCaCtKOWHqsUT/WK4ZIWxLatqw+fh0YQZkn/rmbFu1VRuxjZkT:Tt4ZFOPT/WNNkNgvN0/zyrx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec4c93436c6c5e93 |
|
VISUAL
aHash
|
002c00820210ffff |
|
VISUAL
dHash
|
0248b69616220e2c |
|
VISUAL
wHash
|
333d0c003030ffff |
|
VISUAL
colorHash
|
070000011c0 |
|
VISUAL
cropResistant
|
0248b69616220e2c |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.