Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D1383349C4E513B71076EE4B8B2AF9DA0C7830CD5525128F3F943A497EAFD89C629E4 |
|
CONTENT
ssdeep
|
768:RINqEmf+mkFt8qrHibsUlbMUM3MXMcMKMEA0zNIRe0gVV0UMVvj0LL8ryLgbjXN8:aebBbMUM3MXMcMKMAceBvkra8+Lgbj98 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6319ccc99666633 |
|
VISUAL
aHash
|
f7e7e7e7e7e7e7ff |
|
VISUAL
dHash
|
454d4d4d4d4d4d2a |
|
VISUAL
wHash
|
03030303c3c3c3db |
|
VISUAL
colorHash
|
07400010000 |
|
VISUAL
cropResistant
|
454d4d4d4d4d4d2a,7354d6c4cedadbce,1d7491b359d99ded |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.