Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1E29532D109693F06A772D1FBB0A35A73958389DA430B1A42FCC74C5FEAC60EE17599 |
|
CONTENT
ssdeep
|
384:Bs0rnIUr0PIIsZIIIII96lBqaIUvYdkvJcXsjAgnAK+xwgNi6pW:+0r0IIUIIIIIaOA1nJ+Wn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3713c1e1c6963 |
|
VISUAL
aHash
|
00e5ffff3f181838 |
|
VISUAL
dHash
|
cfcdcbf5ed73f0f0 |
|
VISUAL
wHash
|
00f5fb7f3f181830 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c8c,0000606969600000,cfcdcbf5ed73f0f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)