Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139225133A600DD2A8DAB85CCF6C09589411DD349FB3148CAB2A491FF7BC4DF0699979D |
|
CONTENT
ssdeep
|
192:kf3JuEKdmCZTy6gtZwxQBMcnthWeNWby6VfMmUU8VCodzl:/EemCZTy6qz6VfMmUFCodB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0307d343466cfec |
|
VISUAL
aHash
|
c3c7ffc3c3ffffff |
|
VISUAL
dHash
|
9e9c009c1e220000 |
|
VISUAL
wHash
|
c0c0c0c0809cfdfc |
|
VISUAL
colorHash
|
070000080c1 |
|
VISUAL
cropResistant
|
9e9c009c1e220000,3030b2b232303030 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.