Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC524232D0C9653712536DE8F4B17F5DE0C3822EC66A2C48A3F98BC69FD1E949D12987 |
|
CONTENT
ssdeep
|
192:BdKClJA/ymu6CnaDAbmHV5mdk/qap/r3FspPF3tMn9F4B:vKCb6saPnF8N3tMn9F4B |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)