Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE72ED20B854DC1640FBBDDDA6B29E2E50F98341E5650289ED9BC3F907A3D6DCB335A0 |
|
CONTENT
ssdeep
|
192:ZRgTH4SK45ST0iDp/VUJMA8nHFgWCLU8YanJz:ZRgTip/VjA8nHFjuU8YanJz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6b22cc7c9c9c319 |
|
VISUAL
aHash
|
3e8787fffff70000 |
|
VISUAL
dHash
|
702c2ccc3cec2d31 |
|
VISUAL
wHash
|
108787fffff70000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
702c2ccc3cec2d31 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)