Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120510FB79322545C6B138AFCDC2270FCC042011FC961A8A8AD90D06D92DCD8DE9A36BF |
|
CONTENT
ssdeep
|
48:emrFUU4aZzKUJaZzOUiaZz6TZTvKmx/PEpgkzDOpdlpJpj1pO1Rtu531hDEf6:emrFEalbal0al6TPKgQsdHjj3z5llEf6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
830bfcd435b5d505 |
|
VISUAL
aHash
|
0000000007ffffff |
|
VISUAL
dHash
|
9e73f3efcce01640 |
|
VISUAL
wHash
|
000000033fffffff |
|
VISUAL
colorHash
|
0b000600048 |
|
VISUAL
cropResistant
|
cfefdce412161600,ce3f73f3f7efcfec |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)