Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1526255B421C1EBBB10C7A7F4B761AB1BAAE4CB9DD917CE2462F4C2955FC7C048E41215 |
|
CONTENT
ssdeep
|
192:mXSvoAKPmXu41aXoXetXUlSrkbCPz2HjkVfJ2AQ2i:mXSvotPMuUgCMjrkbqIjkVR2AQf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6e9d1d9a9206e4 |
|
VISUAL
aHash
|
ff00e0c00000ffff |
|
VISUAL
dHash
|
402785a5a5258c47 |
|
VISUAL
wHash
|
ff80f0c04000ffff |
|
VISUAL
colorHash
|
0a000000e00 |
|
VISUAL
cropResistant
|
402785a5a5258c47,5918dac9981999c1,014b4b094b4b4b09 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.