Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF234C73A331B87843DB92DEF7382A46B2D69589E8C74590F5C956CD23C3C816187BB4 |
|
CONTENT
ssdeep
|
768:aTo1u+EsZx8/G8+GRsYDVSvM7B/SVM7B53Uuix+y9dQpUDF1E56ITmHx3naOhqez:aTo1u+EsZ/8+ItDVSvM7B/SVM7B53UxL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb916c6cc595c5c4 |
|
VISUAL
aHash
|
f1818f8f81818181 |
|
VISUAL
dHash
|
035d5d5d59415949 |
|
VISUAL
wHash
|
ff8d8f8f8d818181 |
|
VISUAL
colorHash
|
3ae00200000 |
|
VISUAL
cropResistant
|
035d5d5d59415949,343038383cbc9c89,fef9f1e1f1f2e4e1,03da9adad8819989 |
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)