Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18402FF726104ADB70183E3EAE771E72F7686D349CA932786A2F9D74C4FC6C9ACC51214 |
|
CONTENT
ssdeep
|
96:Go5QPzxCvH0xhnbB0Q+BO4vRl8voOBvlPdARJoTB0VgmPetLEyJxyQP3dJ2:GoAYPUnbR4vRlLRJoTGOxvK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c361616d6dc63c |
|
VISUAL
aHash
|
003c3c3c00000000 |
|
VISUAL
dHash
|
4069696196600000 |
|
VISUAL
wHash
|
6c7e7e7e00000000 |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
929010c000020303,4069696196600000 |
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.
Pages with identical visual appearance (based on perceptual hash)