Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1715175638108DD3B9260C0D8E570636C5ACD828E97470B59EAED477D32DA5FACC6EDC8 |
|
CONTENT
ssdeep
|
48:qb6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:quRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffcd987382c88872 |
|
VISUAL
aHash
|
f0f0e0d9e1838307 |
|
VISUAL
dHash
|
010307130f1f1f3f |
|
VISUAL
wHash
|
f0f0f0f9c1c38707 |
|
VISUAL
colorHash
|
07002008080 |
|
VISUAL
cropResistant
|
010307130f1f1f3f |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.