Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111A3513000A4763F4177ABB5B5DBB301A65E90A0EEEA41C1F7D2A50AFDC0D53A639DC9 |
|
CONTENT
ssdeep
|
768:LQ7Y77075SnJAoGPLJ1fvaW5il80oXiAr1xOl78n+/uBy2Lmo5IYHbVEfT7VZR79:87d7iYe76X5IVfT7p9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa3805ce4ea431f9 |
|
VISUAL
aHash
|
f9cdc5c5fdffff00 |
|
VISUAL
dHash
|
2319990d29150096 |
|
VISUAL
wHash
|
818181c1fdffff00 |
|
VISUAL
colorHash
|
07003200048 |
|
VISUAL
cropResistant
|
2319990d09112e13,26620bd6d4c6ce9e,1b3d6b1d3f3f0300,1008343232081000 |
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 131 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)