Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174A3AA23421975274437C2C430BA5B3BE1A68D5FFEE60E014EDC8BFA6AF9CA0745A51D |
|
CONTENT
ssdeep
|
768:w4/tpR4nXF6YjOpSpFlTC6rrqr4Jbgcohi55X:wwtpR4nXBKpSpFl26vqrwgcoi5X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ed6db89243c6 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
14c4c9d9e8702c04 |
|
VISUAL
wHash
|
00247c7c3c00ffff |
|
VISUAL
colorHash
|
3a200010040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,0016482426b66696,1244ccc9d9e8f068 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.