Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E9285F17214B633418BA1EBFBB56F9A22D08385CB51024592FCC39D8FE7C85EE16441 |
|
CONTENT
ssdeep
|
384:2SwJ4uFr0k5IOTcSFjxFePP2agF7ZEMDJSRfG0GlGI1GSGrGkRP:2SAGgx7YWpne |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d993266ccc939959 |
|
VISUAL
aHash
|
00003c3c18180000 |
|
VISUAL
dHash
|
400068e830300010 |
|
VISUAL
wHash
|
00003cfcfc980018 |
|
VISUAL
colorHash
|
38000000c01 |
|
VISUAL
cropResistant
|
0024c2676b33cc22,400068e830300010 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)