Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B234BB26722B8A843DB91EEF73C2D56B2C2989DF8C74450F5C95A8D13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aw+EsZx8/G8q4CDaw+MxBSw6MxBTwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:aw+EsZ/8tCDaw+MxBSw6MxBTw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2f3f3fe0c0c0c0 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
7f7f6d333f193131 |
|
VISUAL
wHash
|
0000bf8183df9fdf |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7f7f6d333f193131,fffff3f3fffbffff |
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.