Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B23A53240C47B3B51D343C89362EA4BD7D980C4E33ECA9AF1E9971F56C6A94C866B5C |
|
CONTENT
ssdeep
|
768:N8FwK6sYGQSSgyWyyYsgukUCqICAiscwSuzZsxLhNwkLfdLB/ch1rBhmFrB+nyQE:N8FwK6sYGQSSgyWyyYsgukUCqICAiscD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
956ae196e8ce91b2 |
|
VISUAL
aHash
|
ff000000063e6e6e |
|
VISUAL
dHash
|
71f0c4e09cdcdcdc |
|
VISUAL
wHash
|
ff0038000e7e7e7e |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0021416363490042,84c4c0b4a00e1c88,19f8dc9f0d2898d4,7c7d6d69e1b3f4f5,72d4d4ecdcdcdcdc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.