Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1210201326504ADB70183E3E6E770E76F7A86D349CA932686A2F8D74D0FC6C9ACC51214 |
|
CONTENT
ssdeep
|
96:FpvbPzlCvHzxhnOjVQgEBO4vRlXvC+BvlPiRRJoTB07t+2yJxyQP3m2:FpvsPjnO34vRlCRJoTfxv7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e565656565c29a9a |
|
VISUAL
aHash
|
c3c3ffffc3ffffff |
|
VISUAL
dHash
|
8696416902280000 |
|
VISUAL
wHash
|
c3c3ffbd00000000 |
|
VISUAL
colorHash
|
02e00000000 |
|
VISUAL
cropResistant
|
8696416902280000 |
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)