Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BC2B731A1006B37529782CEB3716B2E93E7830ADB42061992FD43BD5BE3D45DE6743A |
|
CONTENT
ssdeep
|
768:LQep1CsrO46Q4lW4GTB7sOy2+y9BH4cLIe:TCsauV97sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9839b8b8 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7470006c45ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccccc8c8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.