Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196231932DCC4272706A313C17783A2479698D181B217CB8BD6FE834E52CEE95D63AF59 |
|
CONTENT
ssdeep
|
768:XSe44TsBK5qfZSJASLDkzQP/uR7OaxlOBlyVoqtJQT1gB+57Rfe0wOZFnHFhiVgn:XSe443qIkK6OAi1TX24tjwNRdo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92926c6e9c6d6593 |
|
VISUAL
aHash
|
040e2e0e0e00183c |
|
VISUAL
dHash
|
ccdcdcdc1859f0e8 |
|
VISUAL
wHash
|
067e6e0e0e0c7c7e |
|
VISUAL
colorHash
|
39200031000 |
|
VISUAL
cropResistant
|
b0d84c9d1f1faed0,ccdcdcdc1859f0e8,ab3e3c29359f9bdb |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.