Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139C285739101273F02A7C2C9B711BB6EA2D3934DCA451D1652FC87AE4BE7E50ED2292D |
|
CONTENT
ssdeep
|
768:0oy5NnV0FbnU9z/kmq94TEqY3XJohBft7sOy2+y9BH4c1Ie:q0FbnU9z/k4EBJoB7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd12d82c9283 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbe3cc4ce600 |
|
VISUAL
wHash
|
80f571300406ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
008080084c808000,1c09cbc3e3cccce6 |
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.