Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABC2953151442A3F4293C2C9B771B72EA3E382CEDB4A140556FC935E4FE6E90EE1752A |
|
CONTENT
ssdeep
|
768:GSCy5NZk3lsq/6YUJ47sOy2+y9BH4c1Ie:w3H/OJ47sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53af428c3e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c59d0f0d1f9bd00 |
|
VISUAL
wHash
|
003f3818101effff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,5c59c0d0f0f9f9fd |
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.