Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C2A832F104363F51A7C3C97762F36AA2E35249DA8A090553FC836D4BD7D54EE2362A |
|
CONTENT
ssdeep
|
768:fSzy5N50VX/r9KjMA7Dqielh7sOy2+y9BH4cLIe:iVDA7Dq137sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f13a9038ade7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c3c3e8cdc99900 |
|
VISUAL
wHash
|
60f970300405ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3c2cccdc919 |
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)