Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A3BA23811935274437C2C1307A5B3BD2A6995FFEE70E410EDCCBEA6AF9CA0745A25D |
|
CONTENT
ssdeep
|
384:g96nuDrpCstZzUMRr8nXxHD+YjOp4QFSVHFlTCxYrrKRiNAFAT6y4scLq3Yh471Z:gftpR4nXF6YjOpSpFlTC6rrB4sbIvSdX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313ec6db0924acf |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
526469d96862a624 |
|
VISUAL
wHash
|
00343c6cae00ffff |
|
VISUAL
colorHash
|
32000640040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,8027d82424926696,52546969d9686aa6 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.