Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A933C8207200775F6C320F34F38B71EAC1DED384EAA6A83DB259931674D6136C7569AE |
|
CONTENT
ssdeep
|
1536:gmc0wA35nM+U5y4Pf3E4tW4jPwtSQzZ8Z7U1c/d/6o:v424p/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f1718e8e9e139a8c |
|
VISUAL
aHash
|
ffc3c3c3e3ffffff |
|
VISUAL
dHash
|
11969a8a0e000a60 |
|
VISUAL
wHash
|
00c3c3c3003cfc9c |
|
VISUAL
colorHash
|
0760a000000 |
|
VISUAL
cropResistant
|
11969a8a0e000a60,40606ccc8c8c8c6c |
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 355 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)