Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196C2A771A1002B3F029BD3D97311F71EA2E3D28DD686091553F8936E4BE7EA4DE2351A |
|
CONTENT
ssdeep
|
384:Oe/y5NHYpoy25LhjWtMqCqnKv0n3eR/CZeWML8IYsOy2+y9BH4cUUIe:Oe/y5NHhAKvSlJ7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9929c183 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cc4c2cccdd300 |
|
VISUAL
wHash
|
00eef6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6cacccdd3 |
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)