Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5335C726731B8A883DB51EEF7382D49B2C6549DF8C74550F1C9969D23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:a2+EsZ/8j+iDVR5MjBTRNMjBYDrpRXPZlQaQD9OehM+BrUgq4z:aD4RwR9DrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae99d1c6c16e9568 |
|
VISUAL
aHash
|
ff9d8191919181ff |
|
VISUAL
dHash
|
4d7d77616565654d |
|
VISUAL
wHash
|
ff8d8191918181ff |
|
VISUAL
colorHash
|
0e610000000 |
|
VISUAL
cropResistant
|
4d7d77616565654d,33362274cce988e2,f88a82b73392a2fc,a212c84b53cd02a2,f8f4f5e5e5e4e6a6 |
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.