Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197C28431A214363F119BC3C9B761F32EA2E35249DA86090553FCC7AD4BE7E54EE1351A |
|
CONTENT
ssdeep
|
768:lSzy5NNYjaWClF8yF/1eG7sOy2+y9BH4crIe:QZC9F/AG7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363e53a9e1c39c1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c2c3ecc909c600 |
|
VISUAL
wHash
|
60f370342001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400a00158d88000,c8cac3e2cdc909c6 |
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.