Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FF3D6B1909832BF1406A3D2BB18976DB78290CCDF114A86C7F4D2CDA78EF91AD73159 |
|
CONTENT
ssdeep
|
3072:6nIoHkeJVtrYJVtrdxCnIopWeJVtrYJVtrdx2nIopWeJVtrYJVtrdx2nIopWeJVr:IzkeJVtrYJVtrdxQtWeJVtrYJVtrdxU5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92cd36696939963a |
|
VISUAL
aHash
|
007e7e7c7c7e0406 |
|
VISUAL
dHash
|
d4f4ccd0d0cc8cac |
|
VISUAL
wHash
|
007e7e7a7c7e0606 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
69dd4969e94c0d4d,d4f4ccd0d0cc8cac,8e8eccdcd8c8c8d6,4b3303d343d2d4c5 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)