Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F726836F048721C11136892D59231FAFB17163DBA566DB87962C90FD3DCABFA0329E4 |
|
CONTENT
ssdeep
|
192:FIziLDJ5ks085EqEMtMvJSNN57cQGDt7yQoDs4rR7vgbVpKsH6L/u:FIziLDJas085EqEMtwSNNTbROZpKsaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9cdc663c638388e |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
0233332b2b2b3b00 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17038200000 |
|
VISUAL
cropResistant
|
0233332b2b2b3b00,79711668cccc8c3c |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.