Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123D25332B1846A3B42A7C2CDB720772EB2D3428DEB9A195163F9839D1FE7D10DD53426 |
|
CONTENT
ssdeep
|
384:We/GLqBAfiR22UtRBl0Xb2zuOM5NrWgVYsw8aa2KcN4IYsOy2+y9BH4cUUIe:We/GLqrby85wPw2Kd7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372fc389869c5c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc0c9cdcd9300 |
|
VISUAL
wHash
|
00c4f0203f05ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc8c0c9cdcd13 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)