Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15183363C62C09A3550CB86E2E5B19E29D1EDCB99DB136DCBF268D396075EC58CF63210 |
|
CONTENT
ssdeep
|
1536:kl8sIxipkfV7YmPP2hzolchsx7d+p3MaCo/fyx1v3PN2EWbMnf+BRUbUH6jMxDv5:M8Bq/KE7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9bfd2c2c099d4a5 |
|
VISUAL
aHash
|
ff0f030303030300 |
|
VISUAL
dHash
|
0bdfd7d3d3d7d392 |
|
VISUAL
wHash
|
ffff0b3b33030300 |
|
VISUAL
colorHash
|
06c00010000 |
|
VISUAL
cropResistant
|
03dbd7d3d3d7d7b3,dfd3d3c3d7d7f396 |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.