Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131424133B500CD294EABA68CF2C49688855EC306FB3149CA61A491FF7BC4DF065967AD |
|
CONTENT
ssdeep
|
192:0kIYcxcjch2qgNyssxUY4bL1McnthWeNWbY9/5fMmUU8VCoe:Lcxcjch2qIYELrh5fMmUFCoe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89dd087622772a77 |
|
VISUAL
aHash
|
1818181800000001 |
|
VISUAL
dHash
|
b2b2b2320c304c8f |
|
VISUAL
wHash
|
783c3f7f3f0f0001 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
a280eab2c2b032c4,b2b2b2320c304c8f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.