Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2528660961CAF1EC24382949B7ADB3A334A93D3E34D026519BD5378E58DFE5CC271E8 |
|
CONTENT
ssdeep
|
192:oQ4VRuWxUkpcN0vTzjy0qcZ/vIbAUfnqH/JLP7MDhrWEV/ymrvEH:kVvGMo0QqNTMD8EYma |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc3366cc |
|
VISUAL
aHash
|
00183c3c183c1800 |
|
VISUAL
dHash
|
70f0f0f0b0f0e070 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30006000000 |
|
VISUAL
cropResistant
|
70f0f0f0b0f0e070 |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)