Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16822C71FD24C226207D18795B95A27C9F70B401C6392CFDE5C78909CB3BA7584FB62EA |
|
CONTENT
ssdeep
|
192:q5JMPwmZTPtVB13fFNd5Y0u9CkUTJihnijprtA95iikyroAP:q5JywmZTPtVB1v/D/kZnWxgI2JP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6793d88a8f1c86 |
|
VISUAL
aHash
|
fce0a0a0f0d8ffff |
|
VISUAL
dHash
|
848c4a4325b142b5 |
|
VISUAL
wHash
|
f4e02080f0d0fbff |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
848c4a4325b142b5 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)