Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1B37EB6E1C0FE1241F340D1B19B9A83B7B94817B50A8990FE9CC6C132EACF645776D6 |
|
CONTENT
ssdeep
|
1536:14wczoKiKhENeN1Ib8YQ26yC9ETUwIOyKalPRlYLKOes4oIDNI7vv5ldVol5+gss:1NNIvsOedLVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33bf434b43db016 |
|
VISUAL
aHash
|
043c3c003c3c20ff |
|
VISUAL
dHash
|
9cc8c9d0c4c040c0 |
|
VISUAL
wHash
|
467c3c207c3c30ff |
|
VISUAL
colorHash
|
30200008007 |
|
VISUAL
cropResistant
|
9cc8c9d0c4c040c0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.