Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126932CF43515B52B0AB343B720DE5607B378031BD80F4C6072A4EE9E62EDC5AA167BD9 |
|
CONTENT
ssdeep
|
1536:9GCGlUuRNka2wblHbJLwLIz9GguGOjjRnK:yrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d3927ad99262799 |
|
VISUAL
aHash
|
0300183c3c180000 |
|
VISUAL
dHash
|
2bd4b3b3726064e5 |
|
VISUAL
wHash
|
03181c3c3d3f333f |
|
VISUAL
colorHash
|
38007200000 |
|
VISUAL
cropResistant
|
2bd4b3b3726064e5 |
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 151 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.