Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178924F3A5172AB3B008791D2E720AF5AA3C3C34BD7A3879693F5D3895FCAC91DD52118 |
|
CONTENT
ssdeep
|
192:a/XX3/Dk449XnMUboPk99MLRvnfU9mCrwAe3lDQVlPxXYu0DFAJfv:yX3Y449XMUcPyMlvftC8nliuzDqlv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e74db31a18f14966 |
|
VISUAL
aHash
|
0000200000ffffff |
|
VISUAL
dHash
|
1bc2c6d620480c0c |
|
VISUAL
wHash
|
0070706000ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
524eccd9974e8d0c,0c284c4d4c0e2854,93cac6c6c66628c0 |
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 22 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.