Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122E2C635A2046A3F4197C3CAB721BF6FE2D78289C706054553F8836D5BE7E81DE2391A |
|
CONTENT
ssdeep
|
768:FTy5NP8KwU/fPRXdaJjeMfBVk7sOy2+y9BH4crIe:ZKwq4JCMfBK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c364b81eed13cd98 |
|
VISUAL
aHash
|
000060200000ffff |
|
VISUAL
dHash
|
84ccccc86050dc00 |
|
VISUAL
wHash
|
00e6fe602020ffff |
|
VISUAL
colorHash
|
39600018040 |
|
VISUAL
cropResistant
|
187800805a588000,9c8eccc84870c0dc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.