Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13423E9206210765B58330F34B356B09AC1DFD348F7E79AAEF28D938664D6032C7579AE |
|
CONTENT
ssdeep
|
768:ghFtp5cjMtZXkYPjPQnWl8wP5PXPVjPRfhPTP912:ghFtp5cjMtNk3CNfnI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619a9a269e9e65 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
5196968696000640 |
|
VISUAL
wHash
|
00c30303c3cfff1f |
|
VISUAL
colorHash
|
0e20a000080 |
|
VISUAL
cropResistant
|
5196968696000640,b2e8f0b20b879494 |
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 357 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)