Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAB2303052C43D3FB3274AF5F262BB7851EEA24EC50BE825A6BC42A747C9CC55623794 |
|
CONTENT
ssdeep
|
384:ZhlHlRpkiS2fa2OnkyaQA8b8gj8V8wl8wzd8xe1RQ:ZhlHlIiS2faW+d2flRnPQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce319b6464ee9931 |
|
VISUAL
aHash
|
003c3c30303c3c3c |
|
VISUAL
dHash
|
6079796565696969 |
|
VISUAL
wHash
|
403cbcbcbc3c3c3c |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
caeb59996ea4a5a4,a494d4d4d4949494,6079796565696969 |
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 3371 techniques to evade detection by security scanners and make reverse engineering more difficult.