Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D234A726732B4A843DB91EEF73C2E46B2D2988DF8C74550B5C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a3+EsZx8/G8ssKRF44DawdM0BFwTM0BIqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv7:a3+EsZ/8sxO4DawdM0BFwTM0B5N2/y9E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb916c6cc595c5c4 |
|
VISUAL
aHash
|
f1818f8d81818181 |
|
VISUAL
dHash
|
235d5d5d59415951 |
|
VISUAL
wHash
|
ff8d8f8f8d818181 |
|
VISUAL
colorHash
|
3ae00400000 |
|
VISUAL
cropResistant
|
235d5d5d59415951,343038383cbc9c89,fef9f1e1f0e6e4e1,23d8dadac8808890 |
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)