Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E93A73A0025A5BF1AA772DC99646A0EA15D50C5DF02CEE8A2D7C3CD27D3F61CE35A4C |
|
CONTENT
ssdeep
|
768:dNpli4WLRBHbOdobFEB2KSDS7piliMOpMXDv9h8hSk1:dLlip/bMohEB2KP5KXDvK1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76c70931b39e478 |
|
VISUAL
aHash
|
0030203c3c7e2000 |
|
VISUAL
dHash
|
d4e0c66969c4e9d4 |
|
VISUAL
wHash
|
6270703c3c7e3c6e |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
c2004159595100d2,a280c15d5d5181d2,808020c2c2208080,d4e0c66969c4e9d4 |
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 120 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)