Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185D27831B2147A3741A781CA76F2A72BA1F3434FD7470516A2FD83AD0BE7D14DA27229 |
|
CONTENT
ssdeep
|
768:eeWNNolY/IwZKMF775Xr3Mk7sOy2+y9BH4cLIe:qNXKw5rMk7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b438ad36e586 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc8c8888c00 |
|
VISUAL
wHash
|
227c74302044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c0c808158d88000,d4ccccc8c0c8888c |
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.