Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C53A4A1D124347B094397C092D43516A39A9A82CB5E1DC7F7F9C62873CAFECF8E2549 |
|
CONTENT
ssdeep
|
768:L9tkiEWq7+/VA3haOJ2Fx0v8P+kNmiblflKlyLlFlpl/Z:LLO1ESu08P+KmklflKl0lFlplR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e86d9696616c9c9a |
|
VISUAL
aHash
|
818199c1fddfdfdf |
|
VISUAL
dHash
|
330b23076b3c3d3c |
|
VISUAL
wHash
|
818091c1b9c7dfcf |
|
VISUAL
colorHash
|
062000080c0 |
|
VISUAL
cropResistant
|
330b23076b3c3d3c,a4a0c9c1612d3392 |
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 979 techniques to evade detection by security scanners and make reverse engineering more difficult.