Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DB23F305094BA374293E1D6627AAB4EA3E5C281CA530706B7FD870D5FDBD60EE137A1 |
|
CONTENT
ssdeep
|
768:NKKSI98f7ELDeeegeeereeeqeee7fCaMpwo:QKSI98f7Ieeegeeereeeqeeeopwo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2e52d1a93c1cc9c |
|
VISUAL
aHash
|
c0c0f2ececf4e080 |
|
VISUAL
dHash
|
0206c6c8084c8901 |
|
VISUAL
wHash
|
c0c0f2eefcf4e4c0 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
958da91356562727,0206c6c8084c8901 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)