Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8327333E600CC2A8D9B568CF5C49688425ED345FB3148CAB66091FF7BC5CF06AA979D |
|
CONTENT
ssdeep
|
192:2Q2oYc5c+chomWbEZbAR1etxR3XMcnthWeNWbnfMmUU8VCo+:mc5c+chomWbEZeQ3IfMmUFCo+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0f80b070f170ff4 |
|
VISUAL
aHash
|
01c3c3c3c606060d |
|
VISUAL
dHash
|
7b9e9e9e9efcfcf9 |
|
VISUAL
wHash
|
01c3c7c7cf0f0e0f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
f5fbf6e4d8b0e080,ea60e0d898e0c005,4565a034e0d080a0,7b9e9e9e9efcfcf9 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)