Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1277440FA7461C83A42FA92C542103BDDC58B930BD5324FD43BD443A85BE4E57BEDA226 |
|
CONTENT
ssdeep
|
6144:ab2L5uRJQGaA1Wcu1YfpDdd2xuw3XHA4RJQGaA1Wcu1YfpDdd2xuw3XHA2RJQGaq:bIRJQGaA1Wcu1YfpDdd2xuw3XHA4RJQ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb14ea95cbb43c83 |
|
VISUAL
aHash
|
ff0000383800ffe1 |
|
VISUAL
dHash
|
03d133f0d957cd43 |
|
VISUAL
wHash
|
ff40187c3c00ffe1 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
2bd3d1a47133e8e9,d5b14c4db8454313,e3c1dd535d7edcd5,38beb8d191d3c3c2,c37372263c2c2524 |
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 200 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.