Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F234A726722B8A843DB91EEF7383D46B2D2589DE8CB4414F5C95ACD13C3C912297BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8E45DawpMSBEw9MSBdwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:aE+EsZ/8/5DawpMSBEw9MSBdw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6f6b6fc490c490 |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
4d7131140f251d17 |
|
VISUAL
wHash
|
000000cfcfffcfcf |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
4d7131140f251d17,802bd4d46970220c |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.