Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130235B726332B47843DB91EEE7382D56B2D2988DE8C74554F5C95ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aB+EsZx8/G8AJ4gDawmjMIB1wrMIBLwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:aB+EsZ/8AKgDawqMIB1wrMIBLwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab59ec9249b3364 |
|
VISUAL
aHash
|
ffffe7e1e1b81818 |
|
VISUAL
dHash
|
e8974f070323316b |
|
VISUAL
wHash
|
ffffe1e0c0981818 |
|
VISUAL
colorHash
|
06600280000 |
|
VISUAL
cropResistant
|
e8974f070323316b,0f07272727272727,0000000000000000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)