Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1640215327089D93322E3B2D6D234276EF281930BC91B0A6157F4D7DE1B85DD4EE6A05C |
|
CONTENT
ssdeep
|
96:SZQgfGCLf1qM2xdLZ8ZMkgUeP+iJMrUCVT:SRPsl8ZDRpUCVT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c53a673236e5c0cd |
|
VISUAL
aHash
|
0000faff5fffffff |
|
VISUAL
dHash
|
4c289296b6949292 |
|
VISUAL
wHash
|
0000647e3e7e7e7e |
|
VISUAL
colorHash
|
02000007000 |
|
VISUAL
cropResistant
|
4c289296b6949292,41116e9692a64945 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.