Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DD27435E1002B3B529793C9B311F72DA3A393C9D646081662F8C75E8FD7EA1CA27526 |
|
CONTENT
ssdeep
|
768:vjgy5NzclnK2+yyiK4m7sOy2+y9BH4cLIe:ckypC7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9929c183 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cccc2cccde300 |
|
VISUAL
wHash
|
00eef6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cccc6cacccde3 |
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)