Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A237370E098683701A766D1BB70AF5AF7B2C1C8D5A2170562F8C34F9FD6D94DE4223A |
|
CONTENT
ssdeep
|
768:LdxoRod1q1TgbJAJTQ/7fRk0Ju6SOTbMbyb2wrZMp:LdBIytgTQ/7fRXJu6SOwK2wrZMp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b94712edb8c73846 |
|
VISUAL
aHash
|
cfcf00ffc3c3f38f |
|
VISUAL
dHash
|
1b1b642a2b2b2b9d |
|
VISUAL
wHash
|
81ef00ffc3c3e704 |
|
VISUAL
colorHash
|
07400000180 |
|
VISUAL
cropResistant
|
0bc0201b1b182080,342b2b2b2b2b4c9d,002094d2f2680400 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.