Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D06363B09201477B02A3C6EA7735BF8DF291D202C62B5A49A3E8931D5FCBC52DE6075D |
|
CONTENT
ssdeep
|
768:JHJZEfz6i5Lwy2P4yjKANuTw782u782zDDSXsQUExUWBOEz74mvIgYphgvS1:x0zS/P4yOU782u782zDDSt7Ua5lEhgvS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e643e1b919339c1e |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
d2cdedc432000e16 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03000000e00 |
|
VISUAL
cropResistant
|
1b3249495b4b5ad9,3636400c04061616,80cacded4dcdc248 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)