Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADB36CA43644B52716B342B720AF15077279121BD80E4CA0F354EDDAAAF9C5BB077BEC |
|
CONTENT
ssdeep
|
1536:/fFrA1zUtvVMlUuRNka2wblHbJLwLIz9GguGOjjRnjy0:ADrX2wd9W/guGO5y0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c095b52da7603f78 |
|
VISUAL
aHash
|
ff7e0c606000407e |
|
VISUAL
dHash
|
b6d8d8cc8c4290a0 |
|
VISUAL
wHash
|
ff7e7c646420403e |
|
VISUAL
colorHash
|
38003000240 |
|
VISUAL
cropResistant
|
b6d8d8cc8c4290a0 |
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 502 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.