Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138620A743081A8176963D1E837AF632E616289D9C99F854CD5D4F0B83EE5C9EC4DB3A0 |
|
CONTENT
ssdeep
|
384:5mYGP8GxdGmVGSyRaAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:cNPxxomAS2vUwXNAzwUWAyWwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a22a2c24a6f7d5d3 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
a5b1894c0c100800 |
|
VISUAL
wHash
|
00000000677fffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
80b08787ada5a58d,10c99a9e9edaca31,89500c0c10080000,a7a5ad3331e9a989 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)