Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D234B726332B87843DB92EDF7382E46B2D2589DE8CB4590B5C956CD13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G86z4yDawHMJB9wNMJBTwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:af+EsZ/86cyDawHMJB9wNMJBTwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbe46cc4c990b599 |
|
VISUAL
aHash
|
a1818f8f8f8f8d81 |
|
VISUAL
dHash
|
43611d19195d5d51 |
|
VISUAL
wHash
|
e1818f8f8f8f8d81 |
|
VISUAL
colorHash
|
1b408008200 |
|
VISUAL
cropResistant
|
43611d19195d5d51,3981392366643013,436898981c9e985a,c32246061d1f3fe7 |
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)