Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF231C207841E93B45DB95C96A325B6662F98384C7230688FAF8C7FD4BEFC68D973114 |
|
CONTENT
ssdeep
|
384:90jYksJO5xVZjqTSo2iXkcm+mX67aS6wzLk28lrhIa7upEEzzsdmI+b2uwL8WVRQ:9GsIx/jnTS6+kjSpLKVfMprPUUf79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e102f1ba383a96be |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
95c2e68da8002b2a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07e01000000 |
|
VISUAL
cropResistant
|
88000c0c2b2b2a02,95d7cac4eac795b8 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.