Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD8353603D127C25205F12DF9127260E62E1DBC9E61736D4A5F0D23C6BF9DA1BBE2398 |
|
CONTENT
ssdeep
|
384:5QJfDTyVF+AosJtX5kNVjptB8zR5idapAmn0hH08iOdqLUa/hRBhDe31xOATfgJ3:oy2xCd5i8pkLfsLUGZO3fFF4gUft |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c54cbc3a61861fb3 |
|
VISUAL
aHash
|
0000202000bcffff |
|
VISUAL
dHash
|
143060c09560c90e |
|
VISUAL
wHash
|
8080306060ffffff |
|
VISUAL
colorHash
|
02002000180 |
|
VISUAL
cropResistant
|
143060c09560c90e,3434f5d455454929,28ec74d4d4d16266,94848c9c96969292,90b418e0c280d124,5840065a5b514103 |
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 315 techniques to evade detection by security scanners and make reverse engineering more difficult.