Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161D2A53A1180163B2653C9FCB1A0F32AE1EAC748DA579A5DF3ED427327CBC55D817258 |
|
CONTENT
ssdeep
|
768:o3cxQTNZmpNoRoXH2ROZ9IiNajIP7md6jSX3BXVYRXVrx6tpUy5n:o3cCRomF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93b218cee54b8bb1 |
|
VISUAL
aHash
|
ffffffe7ff3c0000 |
|
VISUAL
dHash
|
080e0c4d0c616996 |
|
VISUAL
wHash
|
efc3e7e7f7180000 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
080e0c4d0c616996 |
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 42 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.