Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C9196312129AA3741A7E2D5B1F66B6B32C1C309CE8B221687FD83A94FE7C95ED48055 |
|
CONTENT
ssdeep
|
96:TxVbIpfQM2hXGDNfMJNt+fXIINTmKf7D4Jt+fXIINTf7l:DUQM2QDNEJYN3P4sNTh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399998233cc8ece |
|
VISUAL
aHash
|
e7efe7c3c3e7ffe7 |
|
VISUAL
dHash
|
0c140c4d4d4c304c |
|
VISUAL
wHash
|
00000000c0c0fcc0 |
|
VISUAL
colorHash
|
07001200080 |
|
VISUAL
cropResistant
|
0c140c4d4d4c304c |
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 3394 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)