Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117234A726732B4A843DF91EDE73C2E46B2D2988DE8CB4550B5C95ACE13C3C846197BB4 |
|
CONTENT
ssdeep
|
768:a2M8+EsZx8/G8y04QoDawzM0BAwPM0B5qN2/y9dGDTDiJE56ITmH+LCBlvNPqDv7:a2M8+EsZ/8yvQoDawzM0BAwPM0BUN2/n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc4e46e9194c4 |
|
VISUAL
aHash
|
ff81818181ffffff |
|
VISUAL
dHash
|
4d5d5d5d49150001 |
|
VISUAL
wHash
|
ff8000008181ffff |
|
VISUAL
colorHash
|
17e00400000 |
|
VISUAL
cropResistant
|
4d5d5d5d49150001,fef9f1e1f1e2e4e1,343030383cbc9899,98da9adadad8c813 |
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.
Pages with identical visual appearance (based on perceptual hash)