Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C810970A5612E7F4723DCC4B474ABAD25E3EB0ECD6A6411B7AC82C50FD3EE4E911192 |
|
CONTENT
ssdeep
|
96:TGlSdV88888888888P2folo4VK0p3FKizLhKjzLRTKXzLyKPzL/Kkx:alSdw7iRQfaQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666666689993333 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d0c0c0e0c0c0c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4d0c0c0e0c0c0c0c,6080806288861680,8c31320c81008900 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)