Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182156BD473D0B2B8465787E8943F381AB3BF20AA74888954F664CDD0AEDE4DC8177E58 |
|
CONTENT
ssdeep
|
6144:I7wKD4Lnr3zoe+hvtSn4rd8xpOp2WgNbHUJ4flqExRRhYMKfcPcG5:c7rdmOdJ4flqwGeV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
934e26f3d94c20f3 |
|
VISUAL
aHash
|
000000ffffef240f |
|
VISUAL
dHash
|
23cc047018ddd45a |
|
VISUAL
wHash
|
000000ffffff3c0f |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
23cc047018ddd45a |
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 278 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.