Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1186241B19408993B27A3C6E8B371E78BF780C189CCC7414AD5E6D34D2BE2DA1ED16356 |
|
CONTENT
ssdeep
|
192:fvDMaCFMO/jSrwtKUWVC25z2onpXTsroWV:Qa0r/maKUWV9LpXIkG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e75e9e61611a638c |
|
VISUAL
aHash
|
809c80c1e3e3ffff |
|
VISUAL
dHash
|
3b380e0f474f3024 |
|
VISUAL
wHash
|
809c8080e1e3ffff |
|
VISUAL
colorHash
|
07001030001 |
|
VISUAL
cropResistant
|
3b380e0f474f3024,d6677d43565bcefa |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.