Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE9195B3A1099E2B272281D5EF87B128872752C9C6295C90E3EE17CF55C5FB4E823149 |
|
CONTENT
ssdeep
|
48:TsOJJHNRdX6IUlnNa7P6KvH/xrIdO2N3ssM5sTN1TNbsTNeAdxcWP9LwWuWxq+tJ:TnRXtQnN9xOx9sWnNWj+zl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edaa962e1a496dd0 |
|
VISUAL
aHash
|
fffff9999931fafe |
|
VISUAL
dHash
|
0162437373731228 |
|
VISUAL
wHash
|
fcfb3119113130f6 |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
0162437373731228,474b45870637346e |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)