Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A37A33411935274437C6D530A55B3BE2E6D98FF9A70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:AMPLz4NP/y9svbliCdjMVUIFtiuCa28y2O9:JzmA5Wb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9412876dd2ba6db2 |
|
VISUAL
aHash
|
3e1c0ecfffe1e7fe |
|
VISUAL
dHash
|
e8f4b43c0c030db4 |
|
VISUAL
wHash
|
3c1c048ec7c1c7fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
e8f4b43c0c030db4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)