Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B694BABF929014EE159742F6B871CF68D256E37ECF77D908B28DC051ABCECA1CA15098 |
|
CONTENT
ssdeep
|
6144:pFqPwdLAlU+xU8ZGAuE1uBvLgWh84+1BCNHB6WzMVMwWB3fpDVCCbWUfAlsxR4xK:Ewdx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d86d72860da7b1c9 |
|
VISUAL
aHash
|
00c0d8181cfffe80 |
|
VISUAL
dHash
|
7108303230f08020 |
|
VISUAL
wHash
|
00e0f8989cffff80 |
|
VISUAL
colorHash
|
38400038000 |
|
VISUAL
cropResistant
|
0000084c4c0c3004,7108303230f08020 |
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 189 techniques to evade detection by security scanners and make reverse engineering more difficult.