Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0C27671A100273F529783CAB762F72ED2A3D34DE746090552FD575D8BA3E90DA2382A |
|
CONTENT
ssdeep
|
768:4SCy5NpCzQXTg3Jqede0i7sOy2+y9BH4cLIe:AzQX8zU17sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad528d2c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c48e2f0f9f9bb00 |
|
VISUAL
wHash
|
002f38180c0fffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c5c4af0d0f9b93d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.