Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15713F73214C46B2B119393C4A3119A5BE397C644F3F6CA5AF5E9831B47C5E99C82BF8C |
|
CONTENT
ssdeep
|
768:KrdhKyL5bBB/TPPzeulGU9C84gQ2D7uDRKitgoPOpZgyfOMp9QOJb1/4hFQEJ8o:KZb5bBBHe8GU9C84gQQ7ut9gkOpZgypk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb086b0cbb6e6 |
|
VISUAL
aHash
|
ff00000016363646 |
|
VISUAL
dHash
|
7131ccd0ecece48c |
|
VISUAL
wHash
|
ff000038767e7e66 |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001816363890006,84c4e0b4a01e1c88,2878787870707070,f8f8b8f8e92c3c68,32f0d0ececece48c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.