Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17624C6312251193E6A2B87F8F1E1B77950AAC38CD667965CF3EC017227C9CD9E9632D0 |
|
CONTENT
ssdeep
|
3072:qqH/BzWq+2d45tbxHd45l0BNrABVMReODG+:NWq+FbwVMRHDv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad8174aad6d2ac71 |
|
VISUAL
aHash
|
8103193d191b0080 |
|
VISUAL
dHash
|
134b337173334934 |
|
VISUAL
wHash
|
fb0399bdbd9b8080 |
|
VISUAL
colorHash
|
38000018280 |
|
VISUAL
cropResistant
|
134b337173334934 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.