Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1577262A24318BBBE64D6C6E89F2A773B5245D143F5E6124542FD8738CB87CC1EE27640 |
|
CONTENT
ssdeep
|
192:0WokSWtQOjILtG7lWZB3FbVpUSVSVSVSVS4ScJKpUSVSVSVSVS42tsraeSBtyWOe:0ZkSMQkRxEyWOTC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
890ce6f3cca0e6e6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
d7f3f7f3b3585b1a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
00050555150504ff,b3b3585a5a5a5a2c,f7f3f3f3f7f3f3b3 |
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 193 techniques to evade detection by security scanners and make reverse engineering more difficult.