Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C914121450D5D2EB10383D4C7A53336322F01D7FE0E6314A8FA52B88A96E99FE3B5A4 |
|
CONTENT
ssdeep
|
48:fmPuppTC1rAUxq08Us6gjhXqCAH97hXX+gZxIAWqx8pqn4l5omCvS7MXiAO:fiuaGqscXHNUKvzXC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a951ab56a8dca6 |
|
VISUAL
aHash
|
efeffff4e4fcfcfc |
|
VISUAL
dHash
|
585ab04d4d0d0400 |
|
VISUAL
wHash
|
e7e6d8d880e4f4e0 |
|
VISUAL
colorHash
|
07380000000 |
|
VISUAL
cropResistant
|
585ab04d4d0d0400 |
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 195 techniques to evade detection by security scanners and make reverse engineering more difficult.