Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADF11FF1D044ED37435285C5BBB66B0BB7A2C349CF03094193F883AB9FDADA0DA12599 |
|
CONTENT
ssdeep
|
96:Tks8zaXSB2qSTJ8v67M+dGT5SS8ctmMFSFB4qX+HFC2X6X/YLtucBBa4L0STBR:Qs8z4Si98iIkGT3YMF/QXuYQBawNH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9919e666a6cc9999 |
|
VISUAL
aHash
|
001018180c00ffff |
|
VISUAL
dHash
|
2532b2b031000800 |
|
VISUAL
wHash
|
9110383c1c00ffff |
|
VISUAL
colorHash
|
31202008040 |
|
VISUAL
cropResistant
|
8080808080808080,8080808080808080,2532b2b031000800 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.