Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1660201303006383652274AC1F4A18B1D6617C33DDB461968B7B81BA6BFCECE99D627B5 |
|
CONTENT
ssdeep
|
192:lmMcbbRgSVbtDoQ3DjLkdKCjavErEFZBLflGLfYjLf3GLfigLfviMcfYNqyTzhBV:cMExbZoQ3XLkdKI8FZBLflGLfYjLf3G5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333992366cccccc |
|
VISUAL
aHash
|
e7e7ffe7e7ffffff |
|
VISUAL
dHash
|
4d4d084d4d000c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
4d4d084d4d000c0c,be7670fc7cf8fefe,450100b2b2040145 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.