Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DD26436A180263B51A792CCB360772EB2D3428DEB9B195263FD839D4FE7D10DD63426 |
|
CONTENT
ssdeep
|
768:He/G6qtKOuwhwwbu717sOy2+y9BH4crIe:znPa7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c272b838cd4dc5e9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc8c8d9cdcf00 |
|
VISUAL
wHash
|
00c4f0702507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cccc8c8cdcdcf |
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.