Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3E2A7306944EC2242DF9AC86672572A62F98345C6231689FAF4C7F95BEFC6DCE33105 |
|
CONTENT
ssdeep
|
384:0M/bnysJO5xVZjqTSAfbQQos8Q59KnJW1v1yLcoz42PoKtBfWUaq7mfE:D/bysIx/jIfbQQofho1v1ydPo1Ut7m8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1479cbe232ac98b |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
94d4c2cbce333b3a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2aca36d6d44859d1,ce8a232303351a3a,d99424d6c6cbcbce |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.