Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AE3967023012B7641E787F0F6E1AF5EE1998349C553C529F3ECC26A1BCADA4DE62364 |
|
CONTENT
ssdeep
|
3072:YNxdE6lRXuGWhcBZ1on7pqY6z22pdEwPV6E2EI:d6HuGsuc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6b331a64cf108f3 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e700 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4c0c |
|
VISUAL
wHash
|
c3c3c3e7e7e3c200 |
|
VISUAL
colorHash
|
06006000040 |
|
VISUAL
cropResistant
|
4d4d4c4d4d4d4c4c,3f9ed8d9ca8cccdc,a526cc240785a410,7fb26c68a2c08001,0d30d55553454400 |
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 324 techniques to evade detection by security scanners and make reverse engineering more difficult.