Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABA2B634A41214A702B78DD4E470BF8E3AD6E70EC5EA95421AB883542FD7CF4F911AF9 |
|
CONTENT
ssdeep
|
192:npp3HfBKhwxSvywFRZwNi7uzoXEFXpNt8VRICFse:3HZKvRZwN/gse |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da43e42625dad399 |
|
VISUAL
aHash
|
3000fc080086ffff |
|
VISUAL
dHash
|
e5e4b969922c1555 |
|
VISUAL
wHash
|
7000fc0000dfffff |
|
VISUAL
colorHash
|
18006000040 |
|
VISUAL
cropResistant
|
e5e4b969922c1555 |
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 10 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.