Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177C1826231C0793F8697D3E5BB10D76A6382C399C5420B0542FCD7AF5BABE92CD8416E |
|
CONTENT
ssdeep
|
96:Ctuh0aQ72hDr2HdSleEdfZ6+Urd6b9ZztHtnRAIAv5y7nloj:CIhHiuDSHRgb9ZNy8yj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a703f0f8b29aace8 |
|
VISUAL
aHash
|
00000004ffffffff |
|
VISUAL
dHash
|
37cfc7ed0e320c0c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
002028373728007b,cc0c02321c220c0c,ffcfcfc7cfefe7ed |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)