Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4334B726731B4A882DF51EEE7382D4AB2C6549DE8CB4540F5C996CD23C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:an+EsZ/8JuDVROMQBFRdMQBKDrpRXPZlQaQD9OehM+BrUgq4z:aYfReRsDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed6d139f92d2 |
|
VISUAL
aHash
|
00000c0c04cfffff |
|
VISUAL
dHash
|
4788889888980008 |
|
VISUAL
wHash
|
80000c0c4cffffff |
|
VISUAL
colorHash
|
1b000030000 |
|
VISUAL
cropResistant
|
08000c0c0c000800,2a32aa2a32ba32c4,9c00080000000000,4882888898e89898 |
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.