Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9E35CB07704FA7708B387D7A01B7712F279561ED41E0964B258EC9E63E9CA75033BA2 |
|
CONTENT
ssdeep
|
1536:jbA3jNZJT3Hng1L07fKXPvbpWpFo2h20VTgHd8tVPTMnEXCd0uq+wSRKF:YjNZJT3HngXXspMug98nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac3c6cbc01e8a |
|
VISUAL
aHash
|
fd83838f8f9fffc3 |
|
VISUAL
dHash
|
4b1f3f36392dd52b |
|
VISUAL
wHash
|
ed818183858fff83 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
4b1f3f36392dd52b |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.