Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E95331B1C655317B02278ED5B4716B4FB2D3831DDE67890167FC8BCE6BEAC90EA04486 |
|
CONTENT
ssdeep
|
768:Sg7lAiX7U3/ceL9UaqBN+CCSxkAG2KhN5R14qRbxH47IOAHtDUBpqKcK9maGntvY:ZAt4Obt47IOAHJUBpNxoaGntCoyxiGx3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eccd9396e6966484 |
|
VISUAL
aHash
|
b7f9f1f1d78f8fc3 |
|
VISUAL
dHash
|
2d0303232f3b3813 |
|
VISUAL
wHash
|
93f1f1b1818f8f81 |
|
VISUAL
colorHash
|
07e00008000 |
|
VISUAL
cropResistant
|
2d0303232f3b3813 |
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 37 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)