Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9020EE0C054EE3B436285D9BBB56B0B77D2C349CF46094453F883AB9BDAC60DE22599 |
|
CONTENT
ssdeep
|
192:Q+gzYhhjul8iIlYdaFk5W8bVVlh6/Knlc:QrGjy1oYIFkoQVXeKn2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649a9a9387c6ce |
|
VISUAL
aHash
|
ffc3c3c3fbffffe7 |
|
VISUAL
dHash
|
309686862230080e |
|
VISUAL
wHash
|
00c3c3c3c3cfcfc3 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
309686862230080e,60139bc34b5b1b4b |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)