Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178820A76F21513719A8343DAFF2662EEE31350E9D6212FCC9569820CB29D9EFC825DC1 |
|
CONTENT
ssdeep
|
192:QoB1oB6CJ54t94yNWLe68Lcs9zK36iOxiiFc//Iku9cuGRmKbMpBXp7sfgg8gk:Qy1oC9A66tN3zOxiOc/LsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a552a55aa75ab |
|
VISUAL
aHash
|
03053f1f3f3f7f7e |
|
VISUAL
dHash
|
2675d6767eddc1c2 |
|
VISUAL
wHash
|
03007f0f0f057f7e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2675d6767eddc1c2 |
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 490 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.