Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1382351A1E06A8C6B485F91D0D1641B4EB2A2F379CFE3468551F0533A2BC6EF4FD5E221 |
|
CONTENT
ssdeep
|
768:0jKY/xTvU1BKqI1ET8I0BBJIr8uZIC+kFIJZFJ5oSjR5vFAk5fFV75Yk1E5NjEKy:0jKY/xTvU6n1ETd0BBmr8u2C+k6JZFHt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96683c97d6967630 |
|
VISUAL
aHash
|
0000003c7c3e3e7e |
|
VISUAL
dHash
|
ccb3f0d4f0f0f4f0 |
|
VISUAL
wHash
|
00003c3c7e7e7e7e |
|
VISUAL
colorHash
|
1b000400038 |
|
VISUAL
cropResistant
|
b2b2e2bab2b2b2b2,ccb3f0d4f0f0f4f0 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.