Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192235A726322B8B843DB91EEF7382D56B2C2989DF8C74450B5C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aO+EsZx8/G8U4hDawoMxBjwlMxB+qN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5d:aO+EsZ/8PhDawoMxBjwlMxBHN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af082af7f2222dd2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
717371550822014d |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
717371550822014d,ffffb3f3f3b3f3ef |
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.