Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105C265F281862077023759C475392B1DB283831ECE275D25E3FD4ADB97DDDA2DC2228A |
|
CONTENT
ssdeep
|
384:HX7b5Im6tXDXqfkTc3m6m8BVUKC0pZlPb7xR6R:HX7b58tXDXq8Q3m6m8BVUspPD7xw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9691e9296c6c64e |
|
VISUAL
aHash
|
7e8991cfffffffbf |
|
VISUAL
dHash
|
b53b331e0b333a2b |
|
VISUAL
wHash
|
3c81818981dfff95 |
|
VISUAL
colorHash
|
07018008400 |
|
VISUAL
cropResistant
|
b53b331e0b333a2b |
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 5819 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.