Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176A255336154C9210CD791D8F7A0EA4D2595D306EB318BCB92E4F1BFAACACE05D6539C |
|
CONTENT
ssdeep
|
384:FFfERX1k8BMTaueftRE1TPpC3WTOpM3oT1pC3tT6p+3xUxcE:FqX1k8BM+ue1REBE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1c6c679330ccce |
|
VISUAL
aHash
|
00003c3c3c280018 |
|
VISUAL
dHash
|
3230706868481070 |
|
VISUAL
wHash
|
1a183c7e7e7e003e |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
3230706868481070 |
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 108042 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.