Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9D1B730E0985E7B814343CC62AA3725339CD288C782031C6AF9833D9FC2DE6ED27599 |
|
CONTENT
ssdeep
|
96:ZcuvzC8tYuMzC8MevFbHpA44DpoagY+UafOsFCOoJzlprb2jO:zusFMu2P4FDgYFOvFCOslpr1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b332cdc3c68cb878 |
|
VISUAL
aHash
|
ffc7c7c7c44f6fff |
|
VISUAL
dHash
|
cc0c1e0d8d9cdae4 |
|
VISUAL
wHash
|
67878580c0456fff |
|
VISUAL
colorHash
|
06600010040 |
|
VISUAL
cropResistant
|
cc0c1e0d8d9cdae4,8623b3bbc3e32327,0008303232321000 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)