Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173234B726722B8B843DB91DEF7382D46B2D1489DF8CB4550F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aTgu+EsZx8/G804QrDawfMcB7wFMcByr82+/9dtZkDieE565TmHEnkvdhfVPqDv3:aTgu+EsZ/8vQrDawfMcB7wFMcBW82+/0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6ec0c17b919133 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
2331717171000000 |
|
VISUAL
wHash
|
8100000081ffffff |
|
VISUAL
colorHash
|
1e007000000 |
|
VISUAL
cropResistant
|
2331717171000000,0d71716161796161 |
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.