Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3A28370A251BA3741E793E163366BAB33D0C246DA87031452FCC3AC4FE2D95ED27926 |
|
CONTENT
ssdeep
|
384:EFFCrVqjog8j4dfB8/epfeprAI9g9sSZ9VRfM:mFCr0sg8j+S/0feprmD9o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cab23ac9b9bac23 |
|
VISUAL
aHash
|
0100383c3c380000 |
|
VISUAL
dHash
|
23d470f0b0a0d830 |
|
VISUAL
wHash
|
81183c7eff7e3c00 |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
393dd4dde4e64bda,8201d01f2f620182,23d470f0b0a0d830 |
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 29397 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)