Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FA282B0A251BA3741E793E163366BAB33D0C246DA87031552FCC3AC4FE6C95ED27916 |
|
CONTENT
ssdeep
|
384:EFFCrVqjog8j4dfB8/epfeprAI9g9sSZ9VRf8fA:mFCr0sg8j+S/0feprmD9oo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cbb23ac8b9bac23 |
|
VISUAL
aHash
|
0100183c3c380000 |
|
VISUAL
dHash
|
2394f0f0b0a0d821 |
|
VISUAL
wHash
|
81103c7eff7e3c01 |
|
VISUAL
colorHash
|
30e00008000 |
|
VISUAL
cropResistant
|
393dd4ddace64bda,8201d01f2f620182,2394f0f0b0a0d821 |
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 29440 techniques to evade detection by security scanners and make reverse engineering more difficult.