Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16953A239234C3E6EA04B87E8F7A0B769129D9255F95BD0A8A6BC227157C3C80FD375C4 |
|
CONTENT
ssdeep
|
1536:5bk0RxSSSSLBuuuuf1iJCqGGGGaGGGgBGGGG3kgc0:nx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9791646534b4f16 |
|
VISUAL
aHash
|
00ffc1c1cbfbffff |
|
VISUAL
dHash
|
e117131317c3d526 |
|
VISUAL
wHash
|
0081c1c1c1f1ffff |
|
VISUAL
colorHash
|
06000000181 |
|
VISUAL
cropResistant
|
8080a0c0d0c08080,5317931353c3c524,61e9e8e1e906e480,daded6d2d2104252,909218082890c801 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.