Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191B3D133421535270533C6D430BA5B37E2A69E4FFAA70A010EDCD7FA2BEAC90755B15A |
|
CONTENT
ssdeep
|
1536:Sl+YIAfiWwh5OvedJomDP+LhJCs3QjEeoXAfiWwh5+vedJomDP+2hJCs3QjBtsEn:VLqYvLfjK0/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b61324e96d0b36d6 |
|
VISUAL
aHash
|
00000400fffffff7 |
|
VISUAL
dHash
|
476cec0300322626 |
|
VISUAL
wHash
|
00000400fffffff7 |
|
VISUAL
colorHash
|
03003200400 |
|
VISUAL
cropResistant
|
77ecec0300362626,cc7767ececccb333,62264e4b130a4941 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.