Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0721BB3D080182D9773E392BE017A77A06EA50DDA715124DEBD8181E7D3C7488B62BF |
|
CONTENT
ssdeep
|
192:3j+8ET59gmbMDaVuVxpqO/VnLPEXgwWmNePHKygeFoumE5FNCyhJQPfsRTVMcVFY:ARbYjOgpmN6Loum/QQPQNVK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5f752622b29195b |
|
VISUAL
aHash
|
e0feff0300000000 |
|
VISUAL
dHash
|
cd847217cfd0c0cc |
|
VISUAL
wHash
|
e1ffffff00002038 |
|
VISUAL
colorHash
|
390000c8003 |
|
VISUAL
cropResistant
|
062686c0c9897935,cd847217cfd0c0cc |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.