Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CA133718412A92B162798D4F4716F1EF1E7C30DCA271860E7ED03DAAFCFDE185624A9 |
|
CONTENT
ssdeep
|
96:7gHZVaR3IizSTuSTDqKy1i/yQGgNCiAQyxIrrjFO:UvaR3I3HnZy1iRtC/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0070ff8f0870ff0 |
|
VISUAL
aHash
|
000000c7e7c7ff81 |
|
VISUAL
dHash
|
00a0ba8c8cb480aa |
|
VISUAL
wHash
|
000000e7e7c7ffdf |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
84a2949694dca2c4,00a0ba8c8cb480aa |
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 69 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)
Found 1 other scan for this domain