Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E235B726332B8B883DB91DDF7392E46B2D6988DE8C74550F5C95A8D23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aF+EsZx8/G81yfRF4ZDatxSMXBAtNMXB+Ucix+y9dQpUDF1E56ITmHDLBABW8KPB:aF+EsZ/81qOZDatwMXBAtNMXB+UXx+yZ |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)