Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130F2C797210816A5C2F38FDC98106A447187EA5FCD614370C2F84E7A6BD26A5B788F7F |
|
CONTENT
ssdeep
|
384:TMmSpguBLjL7Lf6O1j1fDj2fUlu9DmDloj97bO0vsFiYK/M74UZh3gl4oyZYWhXk:ImSBLjL7L91Jr6lZhscY7UUjJo4YSX0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5a2da552ad58 |
|
VISUAL
aHash
|
e7ffffe7fffcfcfc |
|
VISUAL
dHash
|
0c08080c14083800 |
|
VISUAL
wHash
|
00e7c3c3e7e40c7c |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
0c08080c14083800,9292dea89088918e |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)