Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA53EC3263404E35C04645AA7A45D7762FE0A725A3E63E1426FB2AF226D2CFC035D7ED |
|
CONTENT
ssdeep
|
1536:V6Z4WVKpSfo0nhyR2CVG12+Jho/oAM4EBsyxBdsuPPn7x:V6mWIN4NRn7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b8383338ce33c6 |
|
VISUAL
aHash
|
00f3717030707030 |
|
VISUAL
dHash
|
1f47c7e3c0c8e4c4 |
|
VISUAL
wHash
|
81f3f37870707474 |
|
VISUAL
colorHash
|
30403008000 |
|
VISUAL
cropResistant
|
1acc1195863b29e4,1f47c7e3c0c8e4c4 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.