Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139F3AD7140062A3F29CFB5F790B1FBE96ADDC15EC27510C4D39C2F894BCAE8491BA652 |
|
CONTENT
ssdeep
|
1536:DUS+momA3MjySuhv9n//qpMDLU+ZRiir0JlNRhy7od6XZXTr3mDPxCqIRfXHYluh:DUS+3lomv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
813e3e6b2a7a3a2a |
|
VISUAL
aHash
|
007e7e7e7e7e7e7e |
|
VISUAL
dHash
|
92d4d4d4d4d4d4d4 |
|
VISUAL
wHash
|
000a7a6a7a7a7a7e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
9292929292929296,92d4d4d4d4d4d4d4 |
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 2273 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.