Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6C28572A1542B3B03A3C2C8B3A1BB1A62D3424DD78A191653FDC36D4BD7E50EE3715A |
|
CONTENT
ssdeep
|
384:Ce4vBrvHbTRU5xycxIwEMYK+JuIeaC60tIYsOy2+y9BH4ciUIe:Ce4vJo9IiYXJnea07sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3039479bc3cbca4 |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
ccc9ccc4c8c8c800 |
|
VISUAL
wHash
|
027c2c306064ffff |
|
VISUAL
colorHash
|
31040000e00 |
|
VISUAL
cropResistant
|
0080802058d08000,9cc9cce4c8c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)