Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8D382D55628038CA04B897DEF2FFE05131FB5AABA554A80294EC26CD6CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:cMunj0RQ7HhiA+ZVmxXB+k4c1ztsoOah+AxYbWlFsR8MLqcrkFsR8MLqcMH0:y0RQ7HoAWVmxXAk4c1ztspamX/V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f9568c5a370aa0f |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0c707d0c70619051 |
|
VISUAL
wHash
|
fe1f0f071fff0000 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
6c80717d0c797100,0000000812111509 |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)