Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A02A3F3914423AC87156762958331EE475F601EB6E24CAEBCAAC0F907419FE01B7E96 |
|
CONTENT
ssdeep
|
192:Lw4T47PJzP/vPQPMtPkPcP8P59EjBXPA85qhfrfxfk1xON1r:Lw4E7PJzP/vPQPMtPkPcP8PuBfA8I8ir |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5446ebbbb93c0c8 |
|
VISUAL
aHash
|
ff0000ffffffffff |
|
VISUAL
dHash
|
49a682d853cb4b4a |
|
VISUAL
wHash
|
0000006effefe9ef |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
00d0400180c1c118,80008aa6a6000090,d251d2cb4b4b4b4a,d13ea6a6a20da280 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)