Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12783E7395251093B912387C4F6F06B8CA16AE34DEF275888A3EC63335FCDCA75D68958 |
|
CONTENT
ssdeep
|
768:UwprslUUm+0vUTTzXPcAMtV43OhvUp6opIypXsZLpWUTMc:Ucrs2Um+0vUTTziPqs9WU/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb4b95b52aca9231 |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
615281014f0caaaa |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
06007000400 |
|
VISUAL
cropResistant
|
615281014f0caaaa,4646534945436d6d |
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 44 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.