Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC412DBB40064C240AA5C3A0AFD9F248C7599199F3510D02B7ECE8CFCAC5FB0A36725A |
|
CONTENT
ssdeep
|
48:ba+ozpMRploXO78cI9yduprXoXO78clr8pUoXO78cNQFJvbZkCFxK:s84QI1eQWZQqFtbZk1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb8dafa920a38c5b |
|
VISUAL
aHash
|
fb3c3c2048ff2c00 |
|
VISUAL
dHash
|
726171cd51f3c969 |
|
VISUAL
wHash
|
ff3c3c20c0ff7c00 |
|
VISUAL
colorHash
|
03401050000 |
|
VISUAL
cropResistant
|
08304c4d4d4c3088,726171cd51f3c969 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.