Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15283F8E053D431B4B10BDBE4E6257779316720BEEF26C94883E91BB09396DADAC57C80 |
|
CONTENT
ssdeep
|
768:0Mu9ncIyKBwnT37g89K1lJPzvoaKYVRI2NnBxCPm7hxt32kP1JMtbRYcpac4fGL8:3dkFTxXxB2iT4y4mbfrD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ad4b48fa3b19193 |
|
VISUAL
aHash
|
ff105c6000180901 |
|
VISUAL
dHash
|
a4a494892b2b3b0b |
|
VISUAL
wHash
|
fff6dc6c0819090b |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
a4a494892b2b3b0b |
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 101058 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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain