Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C1150BA10167A930212F1E0A1E33B4732D2C01BCCCA2B5006F5D3EC93D4C66ED03083 |
|
CONTENT
ssdeep
|
24:haikxaZzdBb6HPE+bMUDTuRk2oNNkx2GB4F:5KkJp6H1Qe2o/kT+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c266681fae8d55a |
|
VISUAL
aHash
|
43019c191c3b90c2 |
|
VISUAL
dHash
|
876f34b370d2332c |
|
VISUAL
wHash
|
d7059c791e3e98c2 |
|
VISUAL
colorHash
|
39401008040 |
|
VISUAL
cropResistant
|
876f34b370d2332c |
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 22 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.