Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3821B69F62832A44E4303C5BD6513FFF20790EDF71217D8BAA5C12C72996E988719C7 |
|
CONTENT
ssdeep
|
384:QBoU7AmEcRbp+txnE63mgSssmMpBZ7eg/B:Wo4bSRStm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f52a55aa55a2d58a |
|
VISUAL
aHash
|
c781e7e7c3e7e7c2 |
|
VISUAL
dHash
|
86170f4d130d4d0e |
|
VISUAL
wHash
|
c381c783c1e7e7c2 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
86170f4d130d4d0e |
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 491 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.