Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9C2B735A000263F0157D3CAB351F75EA2E3A689D7460D1993F8935E8BE7EA0DE2351B |
|
CONTENT
ssdeep
|
768:TLe/y5NcIx3yyC4ku/er27sOy2+y9BH4c1Ie:FyvuD7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c746fc3a910ccd93 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
144cc4c2cccde300 |
|
VISUAL
wHash
|
00f6fe202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cc4e6c8cccdf3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)