Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4C2A7726040263F4293C3C97721BB2EE2D3938CEB86180656FD935E1BE7E90DE23556 |
|
CONTENT
ssdeep
|
768:8fSCy5N3dHiOyA5r108WmpHKSbnAqeJT97sOy2+y9BH4crIe:8MHiOy6iWphbA/97sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b838dc6cc3c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49cac0c8c9e500 |
|
VISUAL
wHash
|
80ad7030340cffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080802058d08000,0c09cac8e0c8c9c5 |
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.