Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131523132D0C9653712136DE8F4B17F5DE0C3922EC66A2C49A3F98BC69FD1E989D12847 |
|
CONTENT
ssdeep
|
192:hj1mAnJrYM6CnaDAbmHV5mdk/qap/r3FspPF3tMn9F4B:HmAN6saPnF8N3tMn9F4B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece943929238e1ed |
|
VISUAL
aHash
|
fffffbffff000000 |
|
VISUAL
dHash
|
2b2312372452f0d4 |
|
VISUAL
wHash
|
fdffc3d7df000000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
032922131f372603,0c3232002aa4940a,8292489696969680,00143070c4d4d4d4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)