Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A32B4F69040DD325217C6D4DFB4A70EE7838A8BC75209A195E4821FA7CEEEAC92519C |
|
CONTENT
ssdeep
|
192:2ZJUnKjLoB9Tjf1sWIfXjWIfkRt4hwifV+4ho/8Zcll4hdKEt46ebgke4:2DUnKjm1sWIfXjWIfkywqVjoEYodKEVQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdb866b326b2cc98 |
|
VISUAL
aHash
|
18181818183c3810 |
|
VISUAL
dHash
|
3030707171716960 |
|
VISUAL
wHash
|
ff103c3c3c3c3c38 |
|
VISUAL
colorHash
|
3a000000e00 |
|
VISUAL
cropResistant
|
f08c8e969f235bdc,3030707171716960 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.