Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179C2A631A1506E3741A382DA73A12B2E53F3434EEB46061662FD83AD1BE3E54DF33959 |
|
CONTENT
ssdeep
|
768:IDY8QepCs7WBRYsZUGslpKxq6FfXx/BGb2RMLTtCILZB/CL0nl1qZCGwiJR3iSNb:Euv+I7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd329129b9cd |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
18ccc0c8cd8d8300 |
|
VISUAL
wHash
|
0cfc30006445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18cce4c8c8cd8d83 |
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.