Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D87374721102AA7F22C342E1831CE399D397D64DDBA3494697D8835B67C6DE0DE3B8B4 |
|
CONTENT
ssdeep
|
1536:6zI2exuDcsI0i4IHeP9yn07bGgZjjCA0VxVuz87W:i6K2ej0PW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e852a4be346eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
94d3c9131833271e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,5b11b5e9cb562c14,ea95db5550504070,b566729db15b4b4b,82a28ecccc8ca282,8512382727008606,8c83d3c98b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)