Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159E11EF1D444ED37435386D9A7BA6B0BB391C349CF430540A7F883AA6BDACA0CB1559A |
|
CONTENT
ssdeep
|
192:QIdwdiUngknzDJ1bnqt8iIywyV9739aqpiwXsJqw:QIdwdiVkzNVY1Twe9739D8xqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b84ec746b331c3 |
|
VISUAL
aHash
|
ffcfcfc7ffffff00 |
|
VISUAL
dHash
|
26be9a9e00180000 |
|
VISUAL
wHash
|
9cc00000ffffff00 |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
26be9a9e2c000000,b8988cc6960e9b98,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.