Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145235B726722B4A843DB91DEF7382D56B2D2889DF8C74414F5C99ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:amEWr+EsZx8/G8N4IDaw8MYBKowpMYBKRqN2/y9dGDTDiJE56ITmH+LCBlvNPqDz:amEWr+EsZ/8GIDaw8MYB3wpMYBjN2/yK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2f2fe4d0c0c063 |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
71714d0037373119 |
|
VISUAL
wHash
|
000000ffc3cbffdf |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
71714d0037373119,ffffb3fbe9f1f3ef |
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.