Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14943C6106301B76AAC334F34B34A34A6C1EE9344E5EAB82DB755935571E303ACB86DF9 |
|
CONTENT
ssdeep
|
1536:vmo0wA3vnM+hH0f3E4twnESwq8Z7U1c/jDwYJ7C9D:/gYJ74 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5659a9b21cc6665 |
|
VISUAL
aHash
|
ffefc3c3c3e7ffff |
|
VISUAL
dHash
|
591e8696961e0056 |
|
VISUAL
wHash
|
00c3c3c3c0c0fc9c |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
591e8696961e0056,b2e3db93db9b9f78,b0a9ec696529597e |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)