Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14673A77B4054E93A26B763DCCE146A0EA28C4108CF718EE4A3D7C58DE6CAE71DDB914D |
|
CONTENT
ssdeep
|
768:H68UmgLFMUfIupupjddfrQdIWbRdGtimRE1NuQM8szyNx:OYqwtLs57GsQlyNx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8742b5da25f00ff8 |
|
VISUAL
aHash
|
00000000003cff07 |
|
VISUAL
dHash
|
dcc1c1c7696936d7 |
|
VISUAL
wHash
|
0020303038ffffff |
|
VISUAL
colorHash
|
32003000180 |
|
VISUAL
cropResistant
|
0085415d5d510142,0055415555414182,0030310136c6d7d7,d4c8c1c1c1c76969,1636e6d7d7e71616 |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)