Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFC2B571A110273F02A7C2C97761B72EE2D3834DD785181653FD8BAD4BE6E84ED2361A |
|
CONTENT
ssdeep
|
768:uSXy5NYJNZnGFU1zL+Vhi4YSpCotV2i7sOy2+y9BH4c1Ie:PNZnGFU1oPhCoei7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd12d82c9083 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3ec4ce600 |
|
VISUAL
wHash
|
80ed71300406ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1409cbc3e3cccce6 |
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.