Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4234A726322B4A843DB91EEF73C2D56B2D2589DF8C74510B6C95ACD23C3C902297BB4 |
|
CONTENT
ssdeep
|
768:aSPwPm8+EsZx8/G8c4QqDaw0MqBcwvMqBVCN2/y9dGDTDiJE56ITmH+LCBlvNPqC:aSPwPm8+EsZ/8nQqDaw0MqBcwvMqBANF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3f2fc0c0c0c0 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
7d7d0f3535000000 |
|
VISUAL
wHash
|
0000009d83ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7d7d0f3535000000,fffffcd4fbfbffff |
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.
Pages with identical visual appearance (based on perceptual hash)