Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14791967290041C1B37778A64EFEA7A8C8162F686C6615820E6DD80ED4ED7DF5E493371 |
|
CONTENT
ssdeep
|
96:6r8/eADxNgudRPpwOt/2UeH5hJkO8yBSl2oW29/94:6EVRhq8C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc669966669933cc |
|
VISUAL
aHash
|
0018181818181818 |
|
VISUAL
dHash
|
3032323232323232 |
|
VISUAL
wHash
|
1b1b1b1b1b1b1b1b |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
3032323232323232 |
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 27 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.