Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6E335B241E6283E037386C4652D5F19F196514DCFA61AC4F3E8C2CAE7C5E71AAE1398 |
|
CONTENT
ssdeep
|
1536:/qTjaox+L+QXsT8YGfYOoxe3Y5zsMB4EN8pkKwJaFJ28KmBCBox1:/yx+L+QXsT8Y4YfxwY5/J8pk7yx1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c66c396d9231c7 |
|
VISUAL
aHash
|
dfffffffc38f8f83 |
|
VISUAL
dHash
|
3538302a3a1a1e37 |
|
VISUAL
wHash
|
879fdfc781838381 |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
3538302a3a1a1e37,0055aac6d6a24000,9c0d35929a643261,1f3f1f6f71716ece,1f3f3f3f71f14ebe |
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 642 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)