Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1598252212C50E92645EF0DCCA4B2622921FE830AC96306C9FEB89BF447BFC6DD637555 |
|
CONTENT
ssdeep
|
192:cGpXOjCAfregCbTJEbk4dLkInkExBmQkmHXEuoOxOregP1cxK:cz5regCbIkInkExBmQkmHX2pregP1H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d56a7f90439462c7 |
|
VISUAL
aHash
|
00007c7e7e7e7e00 |
|
VISUAL
dHash
|
3133c8c4c4fcf4d0 |
|
VISUAL
wHash
|
00007e7e7e7e7e18 |
|
VISUAL
colorHash
|
06200000007 |
|
VISUAL
cropResistant
|
d892dada8c7a7c84,3133c8c4c4fcf4d0 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.