Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E235B726732B4A843DB91EEF73C2E46B2C2988DF9C74590B5C95A8D13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:awlO+EsZx8/G8czRF4QVDaw8MxBqw9MxBDqN2/y9dGDTDiJE56ITmH+LCBlvNPqn:awlO+EsZ/8cdOQVDaw8MxBqw9MxBON2P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb90e56cc591d5c4 |
|
VISUAL
aHash
|
f3818d8d81818181 |
|
VISUAL
dHash
|
235d5d5d49415951 |
|
VISUAL
wHash
|
ff8d8fafa1818181 |
|
VISUAL
colorHash
|
3ac00400000 |
|
VISUAL
cropResistant
|
235d5d5d49415951,343038383cbc9c99,fef9f1e1f1f3e4e1,23d8dad8c89088d0 |
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)