Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF5175638108DD3B9260C0D8E570636C5ACD828E97470B59EAED437D32DA5FACC2EDC8 |
|
CONTENT
ssdeep
|
48:D1d56lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:D1aRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d698dd26638d9923 |
|
VISUAL
aHash
|
fefefcf8e4f8f0e0 |
|
VISUAL
dHash
|
0404102008204040 |
|
VISUAL
wHash
|
3e3c7cf8e0f0e0e0 |
|
VISUAL
colorHash
|
07002008080 |
|
VISUAL
cropResistant
|
0404102008204040 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.