Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8234A72A332B87843DB92DEF7382E56B2D6948DE8C74590B5C956CD23C3C816187BB4 |
|
CONTENT
ssdeep
|
768:a8B8+EsZx8/G8wzRsSoDVS5MDBOS9MDBsUcix+y9dQpUDF1E56ITmHTCd3m6DPq7:a8B8+EsZ/8wdfoDVS5MDBOS9MDBsUXx5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbe46cc4c990b599 |
|
VISUAL
aHash
|
b1818f8f8f8f8d89 |
|
VISUAL
dHash
|
43611d19195c5d59 |
|
VISUAL
wHash
|
e1818f8f8f8f8d81 |
|
VISUAL
colorHash
|
1b408008200 |
|
VISUAL
cropResistant
|
43611d19195c5d59,b981392366643012,436898989c9e985a,c32226061d1f9f67 |
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)