Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F613A570D1492926B17790D1E47593AFA261C34CDB930B5897FC937ABAC6CB1BE321C8 |
|
CONTENT
ssdeep
|
768:TKUS3GgQS1CcuWCvQODcuWCvQOqeaaMJ8tVSD2DADmDULlDJD1AaIIzIo1IaE6b3:WGgQS1CcuWCvQODcuWCvQORkBdAaIIzJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366cc996666 |
|
VISUAL
aHash
|
0000181818000000 |
|
VISUAL
dHash
|
0008303030080000 |
|
VISUAL
wHash
|
bd5abd3cbd42a500 |
|
VISUAL
colorHash
|
38200040003 |
|
VISUAL
cropResistant
|
0008303030080000 |
Victim enters banking credentials including account numbers and security questions. Attacker gains full access to victim's banking services.
Malicious code is obfuscated using 2 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.
Pages with identical visual appearance (based on perceptual hash)