Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2C29571A110363F12AFC3CA7761F72AA2E3934DDA4A090553FD835D4BEBD50DA2316A |
|
CONTENT
ssdeep
|
768:hSzy5NNYgJChHSjDzxCPaNvle6U7sOy2+y9BH4crIe:0gCsvNvQV7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9038adc7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c3c3d8cdc98b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3c2c8cdc90b |
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.