Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155234BB26722B8A843DB91EEF7382D56B2D1489DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:al1aT+EsZx8/G844mDawmMDByw9MDBhw9r82+/9dtZkDieE565TmHEnkvdhfVPq8:al1aT+EsZ/8rmDawmMDByw9MDBhwh820 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2e2ed0d0916f38 |
|
VISUAL
aHash
|
810000ffffffffff |
|
VISUAL
dHash
|
4561711d1e171d1f |
|
VISUAL
wHash
|
00000081dfffdfff |
|
VISUAL
colorHash
|
17000000e00 |
|
VISUAL
cropResistant
|
4561711d1e171d1f,969679e369f1b2f3 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.