Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AC15471501CA936514381DCC3727766329BD284DAC72214D6FB877D9FC6CD9EC2C961 |
|
CONTENT
ssdeep
|
96:9uhXPWdwMew+tlbxzhqomDoYImo+McoZUjlT5nzYeCoaPwMewZzW8J7Y0JYi565R:GPFMz+tl5ooKA5coZclT5MeCo3MzZ6o+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e433663366666666 |
|
VISUAL
aHash
|
42dffffffffffffb |
|
VISUAL
dHash
|
4d32323232323236 |
|
VISUAL
wHash
|
003c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
4d32323232323236,c002129240499696 |
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 4 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 1 other scan for this domain