Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199B19E73C2FA61270333D4C2F5B1B768A6D2005DDB63192296F90B6E5ACDC56F803989 |
|
CONTENT
ssdeep
|
96:uBX1t2bjIujGinjvIZj2iVj84OFcpjme5YOGBPVe9b6pD:uZ1tmF/jvSvltGMnWPVmA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
925b6c3433bab8cc |
|
VISUAL
aHash
|
1c3c3c2c3c3c3e30 |
|
VISUAL
dHash
|
75507078f8596464 |
|
VISUAL
wHash
|
1c3c3c3c3c3c3e36 |
|
VISUAL
colorHash
|
18000000030 |
|
VISUAL
cropResistant
|
70b3b1f0f0f1494b,71d0ccd65a9b6b4a,6b5d75490d252b51,75507078f8596464 |
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 91 techniques to evade detection by security scanners and make reverse engineering more difficult.