Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161D185B1D540242B02234DE7B475831E71CFC15CDA063C9867B8A3DBEBCAD54642BBAE |
|
CONTENT
ssdeep
|
192:1bng2ewPsSw+LN/oHw/GnLNUAg4of+IP/91jEzA:1sB1ab+IP/99 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cec6333164cc |
|
VISUAL
aHash
|
e7e7c7c7e7c3ffff |
|
VISUAL
dHash
|
4d0c9c9e0e8e2004 |
|
VISUAL
wHash
|
81c3c1c18181bdff |
|
VISUAL
colorHash
|
07000c00000 |
|
VISUAL
cropResistant
|
4d0c9c9e0e8e2004,b9bbbb3b3b3b3b33,2666bd7e3c3c6c7e |
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 4436 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.