Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF234B735731B9A887DB51EEF7382D5AB2C5489DE8CB4400F5C95A8D13C7C912287BB4 |
|
CONTENT
ssdeep
|
1536:aX+EsZ/8zDVRHMjBPRBMjBMDrpRXPZlQaQD9OehM+BrUgq4z:aI8R2RVDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fd0c06a94944b |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
0d79715549000000 |
|
VISUAL
wHash
|
8101810181ffffff |
|
VISUAL
colorHash
|
1e007000000 |
|
VISUAL
cropResistant
|
0d79715549000000,23f76971f377c4d8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.