Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117F2A59B210856D5C1F38FE898102A547147EA9FC9718370C2F84E3A1BD25A5B78DFBE |
|
CONTENT
ssdeep
|
384:2bZNqeY5GyP9balOF9LFUHlynmljubO0vsFiYK/M74UZh3gl4oyHea14y2OvkrJh:MObdJhscY7UUjJoKei2wS6o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2a55aad27728c8c |
|
VISUAL
aHash
|
e7e7ffe7e7fcfcfc |
|
VISUAL
dHash
|
0e0c160e0c010909 |
|
VISUAL
wHash
|
00e7c3c3032c243c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0e0c160e0c010909 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.