Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BF3F9A1D0A536BF101293C5B705F36DB781C08DDF024E59F3F68B89668FF91A8A3166 |
|
CONTENT
ssdeep
|
3072:13UUBaMJVtrYJVtrHxU3UU7YMJVtrYJVtrHxY3UU7YMJVtrYJVtrHxY3UU7YMJVB:ZPaMJVtrYJVtrHxktYMJVtrYJVtrHxoh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93cd366969368639 |
|
VISUAL
aHash
|
007e7e7e787e0606 |
|
VISUAL
dHash
|
83d8dcc0d2d0cc8c |
|
VISUAL
wHash
|
007e7e7e787e0606 |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
d8a94919796e0d4d,83d8dcc0d2d0cc8c,8e8eccdcd8c8c8d6,cb3311cbd307c8d6 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)