Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1738110B2608D6D3796C3C2D273A5675AB3A6E154CB532206CAF9C36C0BD3D42EF23194 |
|
CONTENT
ssdeep
|
96:TQjMJsBsJfPfn5pdtBvJAJ6CA6a+3cR9Gu6BLCWh:iB0nfLh6PA6aEcRUumJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec3c13476713136d |
|
VISUAL
aHash
|
00dffffbf3ffffff |
|
VISUAL
dHash
|
44b694266698922c |
|
VISUAL
wHash
|
00c3cbdff1cf3800 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
104030b4b4400000,b6969c6646982018,2090ca4c4c48b040 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.