Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1135265E69060566F622381FEB5E2F77450C4D25DE2E349A0C3BE937926CEC56F9139C0 |
|
CONTENT
ssdeep
|
192:E68LL6/MuoY0RvnWl3eDXfsk7MjywAcQSyUZxBcFL/W:9iW/AYqvWluDXfsk7M2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34c77334c331966 |
|
VISUAL
aHash
|
00ffffffffffe7ff |
|
VISUAL
dHash
|
2a0a3212145a4d2a |
|
VISUAL
wHash
|
00c3dbdb1b0b0303 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
49283212145a4d2a,00100c32b2320c20 |
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 12 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.