Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6D2A6232046693E57D5838482606E6AF6A3CB1DFA21E6FCDD61C756E7C0E51B3B360C |
|
CONTENT
ssdeep
|
768:8VMULO2lfliPjCjePMNwMNveNyVyeB3Od:8VMUBlfliPjCje0NRNWNyVyeB6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6639c23679ccd22 |
|
VISUAL
aHash
|
e7e7dbe7e7cfdfdf |
|
VISUAL
dHash
|
4c0f320d4d2e3036 |
|
VISUAL
wHash
|
00c3c3c7e7c39f83 |
|
VISUAL
colorHash
|
07200000640 |
|
VISUAL
cropResistant
|
4c0f320d4d2e3036,547071f068ec8a00 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.