Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128F1FB316454DD3351E385C897B66B0BB3CAD396DA17038A73F8D70AAF9BD02CD22664 |
|
CONTENT
ssdeep
|
96:3PCP/qaa5Yhzu2o86/LzOVohTQbvCLFw6FvplRmEXrAMeP8WQM8BHhFAMNa8GAJY:w/SKfrIFZow1hmMd5bP7bM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c74f3c3198 |
|
VISUAL
aHash
|
00cfcbc3ffe7ffff |
|
VISUAL
dHash
|
6297979707080600 |
|
VISUAL
wHash
|
00c1c1c1f1e7c3ff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6297979707080600,630123195d29a9a9 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)