Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4235B726722B8A843DB91EEF73C2D56B2D2588DF8C74450F6C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G8C4SDaw+M2BRwNM2BYCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5I:al+EsZ/8VSDaw+M2BRwNM2BtN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c38c3c3c3c3c3 |
|
VISUAL
aHash
|
818183ffffffffff |
|
VISUAL
dHash
|
3f3b3f453d152319 |
|
VISUAL
wHash
|
81818183ff87c3df |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
3f3b3f453d152319,ffffffdcfffcffff |
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.