Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F234B726332B87843DB92DEE7382A46B2D6948DF8CB4554F5C55ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aD+EsZx8/G85BSDVSmMDBcoSw7MDBck3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqD5:aD+EsZ/854DVSmMDB9Sw7MDBT3UXx+yZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbe46cc4c990b599 |
|
VISUAL
aHash
|
a1818f8f8f8f8d81 |
|
VISUAL
dHash
|
43611d19195d5d53 |
|
VISUAL
wHash
|
e1818f8f8f8f8d81 |
|
VISUAL
colorHash
|
1b408008200 |
|
VISUAL
cropResistant
|
43611d19195d5d53,3981392366643013,436898981c9e985a,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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)