Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A481C831A054CE2B42D3D6E9A6B99B6F33C2C309CE0B27060BF593AD5EE7E94CC15155 |
|
CONTENT
ssdeep
|
48:7SZfknugDzmo5mMTwsjSRgS7+TSnSviUd3nP2ez9NROesGjFSGF+:7S5kukFLTmUTSnSfP2eR2mjg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8659547673d95c4c |
|
VISUAL
aHash
|
00003b2f37377f7f |
|
VISUAL
dHash
|
88e4f2dbe5e6e6e6 |
|
VISUAL
wHash
|
00003b2f373f3777 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
88e4f2dbe5e6e6e6 |
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 25589 techniques to evade detection by security scanners and make reverse engineering more difficult.