Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB5121739101AC230964C2D597EB730AB6D64386C6531B0197E847FC5AD6EA2FA722B0 |
|
CONTENT
ssdeep
|
48:nGpPzrI6jHCLaNnjntUWHR2WA2rBanxh+/nL6ywSdo/2PDyocL:nGhxNoWQsnL6BSC/0wL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d8f620e66369999 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
4c3232323232321c |
|
VISUAL
wHash
|
069f9e9a9c9e9cc0 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
4c3232323232321c |
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.
Pages with identical visual appearance (based on perceptual hash)