Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148620969B21C31B48E0343CAB97523FBF21740BEEA6256DCE794C22872959ED8871DC5 |
|
CONTENT
ssdeep
|
192:Qo2poB6CJ54t9eEZXXe/6FqJIOs4ku9cuGRmKbMpBXp7sfgg8gk:Q5poCfXXi7sDsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecacd39b442cc52b |
|
VISUAL
aHash
|
ffff939333ff81fe |
|
VISUAL
dHash
|
d4ca262646442322 |
|
VISUAL
wHash
|
fff3131303f78180 |
|
VISUAL
colorHash
|
07006000600 |
|
VISUAL
cropResistant
|
d4ca262646442322,630783d975370f4c |
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 490 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.