Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CD2A471A014273F51B7D3C9B751B72AA2E3924DEA46080553FC8B5D1BE7EA0ED1312B |
|
CONTENT
ssdeep
|
768:FSzy5NgC9gcQyQ/Ztn3A+He0T7sOy2+y9BH4crIe:/Gb3A++q7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341f13a963cb9e1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c2c3e8cdc98b00 |
|
VISUAL
wHash
|
60fb70300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c2c3e2c8cdc90b |
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.