Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B25311F25752102E27D3E9C4A1127F06A5C2C02DE847048BF3EE4A7997DDFA9E4853AD |
|
CONTENT
ssdeep
|
1536:GHqDOCGkrg/OKNKdawUplI8I8V5ISB8+2e9fWBkN:GHqD0krDcg4b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b9b64cf341c6171 |
|
VISUAL
aHash
|
3c3c3c3c3c3c1800 |
|
VISUAL
dHash
|
6969696969616996 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c00 |
|
VISUAL
colorHash
|
17010000c00 |
|
VISUAL
cropResistant
|
96071e4a32398c96,6969696969616996 |
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 202 techniques to evade detection by security scanners and make reverse engineering more difficult.