Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F913F939F6906677009382D1B3F7972652BD8188ED5282D4D3FD438B1BDFC9CB9622A1 |
|
CONTENT
ssdeep
|
768:NZ8uLIIPE5kU0C4eIetePeXe5eHdJBZSFODw07/yUwvxBLWcIg32nshqloPc3vIE:NZ8uLIIP8ReeIetePeXe5eHdJBZSFHlC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c60af439b29fc6c4 |
|
VISUAL
aHash
|
0000762c2020f3f6 |
|
VISUAL
dHash
|
1cc2e4e9c9cbc6c4 |
|
VISUAL
wHash
|
02007e3d2461fbff |
|
VISUAL
colorHash
|
38200008007 |
|
VISUAL
cropResistant
|
a292c0b3b380a2a0,1cc2e4e9c9cbc6c4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.