Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188A37B33411975274437C6D130A55B3BD2E69A4FFA970A010EECD7FA2BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:OHLz4NP/y9svbliCdipk5eSQKgFtiuCa28y2O9:OmA3ZSQKD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d606b434bd35c54d |
|
VISUAL
aHash
|
02043000000000ff |
|
VISUAL
dHash
|
94ccc4c8c88c8cb2 |
|
VISUAL
wHash
|
467e7420644e0eff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0080812030008080,94ccc4c8c8c88c8c |
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.