Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C63B832A25658039097D2D5F1719B1E22828389C7174FA163F857BE7ECACF5AE123DC |
|
CONTENT
ssdeep
|
1536:fXrMUaOUbJo+F51uzIuJRbu/uEuXuouqRPozXAZ4f+mkR2GRleVO+eH99hGbzSGM:vrM/5wnnimveTMmkR2k8VleH99hG3SGM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93346d304d969b9e |
|
VISUAL
aHash
|
00007e7e0c6c3c38 |
|
VISUAL
dHash
|
ceccdcd8d8d8d8d2 |
|
VISUAL
wHash
|
00427e7e4e6e7c78 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
ceccdcd8d8d8d8d2,432c8c9d8c8c4d57,2bebcbf92d2d250d |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)