Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7A2D872A45082A317B7D6C0DA607F9EB2D2F30FC41A80456EBC8AD65FD3CF1B859560 |
|
CONTENT
ssdeep
|
192:6QVRXV73bhxaGzSD05nlF9F5FKFswFYeFxWYHFMJFcMh0N7Av/LCH0ROhOFXq5LP:tTrWDWF9F5FKFswFpFZFSFcM2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccce216464cecece |
|
VISUAL
aHash
|
38183c3818181818 |
|
VISUAL
dHash
|
22202a203032323a |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07408000200 |
|
VISUAL
cropResistant
|
22202a203032323a |
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 112 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.