Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC435EEE8250003680439CDB7936678E619ED22DC905FCA69F9843D72ECEED5650BB4F |
|
CONTENT
ssdeep
|
1536:0I4cApOwEtQi76ytsUMOcTOXyooFYgmon7OuO+OX5IhY0AKn:ccApOh6i76yt/KyPkmonw5IhY0AKn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0056a2deabf8795 |
|
VISUAL
aHash
|
00007effffffffff |
|
VISUAL
dHash
|
8bc4e069c4c0b049 |
|
VISUAL
wHash
|
00003e3cff7efe01 |
|
VISUAL
colorHash
|
07003000400 |
|
VISUAL
cropResistant
|
d469c8c0c0f03149,076392c2c803c8c4 |
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 425 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.