Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF22BA346846987702E3D3F4B2B2671B62E4F307DA47069513F9833E9EE3DA4EC8A511 |
|
CONTENT
ssdeep
|
96:0YsPMpJHC4Xmi2XX90XxtCvXlus0Qoo3dnE5Xp24491YIQ8eUbJ/u3IBbrzepKW:bup0Qoo3dnE5Xp24wbPeUtm3INrzvW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece913a4361ab96c |
|
VISUAL
aHash
|
fffbfbfff3fb0000 |
|
VISUAL
dHash
|
2807333727073870 |
|
VISUAL
wHash
|
fff191f1b3f30000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2807333727073870,0767635b3329393f |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)