Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE72A6E962A315FF52078BE8F275BB38E27EC649D7A79A48F2D8817053CEC94DD01244 |
|
CONTENT
ssdeep
|
192:jcha5P7Vb1xbAdM/6GJwOPEA27em3QaLfeo+S7lSRsnfq8I:j6a5zVb1xbAd2P6KFo1nCB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
942f94279473d46b |
|
VISUAL
aHash
|
031e180c3004007e |
|
VISUAL
dHash
|
a632b2d8e4ac9db4 |
|
VISUAL
wHash
|
173e783c7226447e |
|
VISUAL
colorHash
|
39600008000 |
|
VISUAL
cropResistant
|
fbebeded8f4f6f4f,9d9baf272d2f0f8f,a632b2d8e4ac9db4 |
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 29 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