Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD32D931520C4D3F4687C6C0E2F2777A30DA828BCB4A25989FFD576A9BD5DD1ED25018 |
|
CONTENT
ssdeep
|
192:9FqAlQ8Y0BiWVBkvAPLY4srCEQdExNUhSPzxr:9d5Y0cy3PUxroUa87x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99f0964968b6ed49 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
3ab83b3eb33bb8ba |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
1e002000680 |
|
VISUAL
cropResistant
|
00001c18960e0000,80c08084c8840080 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)