Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CD2323472585D3EE283C2E5E765333E62B9C347C20B9688E2E942755B87C86ED27374 |
|
CONTENT
ssdeep
|
192:3ZcFUUGwqWAPlw1Qh95QUnO9lqZkbb7wg70XEK4DtwE/7KK2If0dYcylOJuLT+8e:pcWVNiJaOhjMbZtEcbGT4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df0a5da3f0a865e0 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
6979700e08572b00 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0000406969810000,680e0e57572b1402,066979697171320c |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)