Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C234BB26322B4A843DB91EEFB382D56B2D1489DF8C74414F6C95A8D13C3C916297BB4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8h41DawTCM2BHwoM2BqwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKk:aQ+EsZ/8S1DawTCM2BHwoM2BqwcN2/ye |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a9d996a199139 |
|
VISUAL
aHash
|
80f0f0f0f0ffffff |
|
VISUAL
dHash
|
0505252525000000 |
|
VISUAL
wHash
|
00e0e0e0e0fff3f3 |
|
VISUAL
colorHash
|
0e001000180 |
|
VISUAL
cropResistant
|
0505252525000000,2704040404040404 |
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.