Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAD26331B1103A3B1157C3CA7751A73BA2E3924DD64A081653FC83AD5BEBE64FE2351A |
|
CONTENT
ssdeep
|
768:qSzy5NDh5DXinlyNaV9AqNpeC7sOy2+y9BH4crIe:U/SyqN8C7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a98388de5 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c2c3d0cdc99b00 |
|
VISUAL
wHash
|
60f370300405ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8cac3c2d8cdc90b |
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)