Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE822120175119AA0247E776BB903E28D4EA8FE9C227EE64F67F01031B5FC8C5B17B65 |
|
CONTENT
ssdeep
|
192:+NAL0tobb1PDwsn6P5GCHayQZy2eyijfG9WcxXfnsqVDBk0:+NQ0tobb1P548t3kfMEC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93926c699b6c939a |
|
VISUAL
aHash
|
00242c3c2c0c0018 |
|
VISUAL
dHash
|
33c9c949d9d936b0 |
|
VISUAL
wHash
|
b93c3c7c6c6c007e |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
f0feded2acb8b0e4,a28080385a8080aa,33c9c949d9d936b0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.