Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135D2A5717110263F12ABC3C9B711F35AA6E39249E785081A53FC836C4BD7E95EE6312B |
|
CONTENT
ssdeep
|
768:OSzy5NGiMb01Ya0h4fo0JIARWe+RY7sOy2+y9BH4crIe:6MIqARxb7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c347c53a9039b9b9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c0c3c3c8cd098b00 |
|
VISUAL
wHash
|
40f770300405ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3c2eccd090b |
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.