Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2A38B33411975274437C6D530A55B3BE2E68A4FFA970A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:QnLz4NP/y9svbliCdXBsOM58kicxahFtiuCa28y2O9:MmASBsO1kiOay |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430fd34e546 |
|
VISUAL
aHash
|
02043000000004ff |
|
VISUAL
dHash
|
94ccc4c0c88c8cb2 |
|
VISUAL
wHash
|
467e7c3860440eff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0080812030008080,94ccc4c0d0888c8c |
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.