Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14724336379163522103FC2DB606B173ED1D1DB8FF6A30B805AF8D3BA1AF5C90B696158 |
|
CONTENT
ssdeep
|
1536:MIgMHZRTksPEGIhIEBa4QjoCfxZbkmvaL8ILp31G/6aIhyGeNxLZLy2Ihuf4TV7E:MybjLbkelOS6rkGJNJyJjJ4Jb902wft7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63939c63a99c734 |
|
VISUAL
aHash
|
2000706c74707000 |
|
VISUAL
dHash
|
cce4c0d9c4e4c419 |
|
VISUAL
wHash
|
7e087c7c7c70702b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4cccceb28ef87e,800080c0c0800080,8000a06060800080,800080c0c0800080,80808e8e8ca08082,cce4c0d9c4e4c419 |
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 684 techniques to evade detection by security scanners and make reverse engineering more difficult.