Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F22B771BEC464A232730A76B1D13F5DF1A8921FC3179C64F3D8519A87CACB68E521CA |
|
CONTENT
ssdeep
|
192:ZbHoAyAkZuP++yTfADl09J3Tpzvf1xMfuMM+M6BGCMEMHlXMH/UMHsGMHMzK0gH+:ZDvpKuP++yTfADi9J3lzvf1efuMM+M63 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8c0938f2f2f2d26 |
|
VISUAL
aHash
|
387e0000383c3c18 |
|
VISUAL
dHash
|
28a8943060706860 |
|
VISUAL
wHash
|
3efe18183c3c3c3c |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
28a8943060706860 |
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 617 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)