Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A37833411975274437C6D530A55B3BE2E68A4FFAA70A010EECD7FA1BFAC60B45B11A |
|
CONTENT
ssdeep
|
1536:dGLz4NP/y9svbliCdRw45RKZt2BFtiuCa28y2O9:amAuwIKZt2S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d606b432bd34d54d |
|
VISUAL
aHash
|
02043000000000ff |
|
VISUAL
dHash
|
94cce0c8d88c8cb2 |
|
VISUAL
wHash
|
467e7c204c460eff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0080812030008080,94cce4c8c8988c8c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.