Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197336B726731B9A883CB52EEF7382E49B2C6949DE8C74540F1C9969D13C7CD06283BB4 |
|
CONTENT
ssdeep
|
1536:aH+EsZ/88jvDVRNMjBER2MjBFrpRXPZlQaQD9OehM+BrUgq4FJ:a43RPRhrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3a916662c16be5 |
|
VISUAL
aHash
|
818181818181ffff |
|
VISUAL
dHash
|
4d3d733155150005 |
|
VISUAL
wHash
|
bd8181818181ffff |
|
VISUAL
colorHash
|
0fe00000000 |
|
VISUAL
cropResistant
|
4d3d733155150005,636ac6d6e4bcd9f9,83703cebf9b4b2aa,d2a28a373393aa92,88bcbbf135169636 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.