Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8C29672A100263F428793D9B361B72E93E39289DB47191693FC835E4FE3E90CD17956 |
|
CONTENT
ssdeep
|
768:/SCy5NdGrwqrMq2IjRtc/7sOy2+y9BH4c1Ie:/rdn+7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53af128c6c4 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c59c0d0f9f9b300 |
|
VISUAL
wHash
|
003f38081c0dffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c59c2e0d0f9fd3d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)