Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113C294739559297F3A37DBE0E805734AE206801DDE0997C2FAFE80DC12D1D61A6732E6 |
|
CONTENT
ssdeep
|
384:lYFLFhtYFyFhDtYFVFhEOUW/V2PhGgpmrcU2oFhVqbmFhn8MSUi8U2MX9kBTHU25:Q+UUL5UBUUI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89d7762a6931236e |
|
VISUAL
aHash
|
007e7eff793f0000 |
|
VISUAL
dHash
|
c0f0f0d2f3f7f730 |
|
VISUAL
wHash
|
00fe7eff793f0000 |
|
VISUAL
colorHash
|
134010000c0 |
|
VISUAL
cropResistant
|
c0f0f0d2f3f7f730 |
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 981 techniques to evade detection by security scanners and make reverse engineering more difficult.