Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7C20F62D069103E012E47D6AA6B63AC14FE11ECEF0115ECCA6982FB56CFD54F513F90 |
|
CONTENT
ssdeep
|
768:JlzY1gaaaaaaaaUeFaaaaaaaaUeFaaaaaaaaUeFaaaaY444ueT44444444ueeJm:faaaaaaaaUeFaaaaaaaaUeFaaaaaaaa/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3d65650d9585656 |
|
VISUAL
aHash
|
00ffffff00000000 |
|
VISUAL
dHash
|
d00f8c10ccc4d033 |
|
VISUAL
wHash
|
00ffffffee000018 |
|
VISUAL
colorHash
|
16006000000 |
|
VISUAL
cropResistant
|
8080826262c280c0,2c0c0c280c0c5a58,0000000011100111,23d4c0d4d0639010,1b69f1732a160ecd,c4c4e8d8d8cc3231 |
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 59 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.
Found 10 other scans for this domain