Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FB24230A049523B266348C0B5667F6F71F3E21CCA372844AAFD93E15FDACA1ED56690 |
|
CONTENT
ssdeep
|
192:7SX3OzcW+i3o36yEjrpvwWPeZfCAtWws1WLWOBG3h1UWqtlYrl7Yx339BUvBvP+v:7VzPo3D7WPMfC4XsYkjZKJVJ+pP6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1e178180e1f5bce |
|
VISUAL
aHash
|
40e6efef67000000 |
|
VISUAL
dHash
|
86ceccceca4c9e96 |
|
VISUAL
wHash
|
40e6ffffff060000 |
|
VISUAL
colorHash
|
33e00010000 |
|
VISUAL
cropResistant
|
f1d8bc7ef2eff5ed,71ecd4b2f4d5dd8e,a06aa4b91e0f1353,86ceccceca4c9e96 |
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 1186 techniques to evade detection by security scanners and make reverse engineering more difficult.