Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEB33BF03658A6A71AF347A760AB2503727C521FD40F0C60E354D8DA67EDC4AE067F9A |
|
CONTENT
ssdeep
|
1536:H5PzfxctsgYwVTOK5BWUHxh8L61UsXhjaPnQKR+9evuB+m3Z:H5PzpctsLwVTMYmL6Cstn9e6+mJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b02ac7ae4798993e |
|
VISUAL
aHash
|
87e3cfcfc3cfcfe6 |
|
VISUAL
dHash
|
2fce98969cb8b906 |
|
VISUAL
wHash
|
87030703c3cfcfc2 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2fce98969cb8b906 |
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 216 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)