Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146234B72A332B87843DB92DEE73C2A45B2D25899F8C74554F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ayS6+EsZx8/G85vSXDVS5M5BxSQM5Bv3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqDB:ayS6+EsZ/856XDVS5M5BxSQM5Bv3UXxH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fae4ed9290e4c591 |
|
VISUAL
aHash
|
fb8181858d818181 |
|
VISUAL
dHash
|
4379470d09694349 |
|
VISUAL
wHash
|
ff8181e78ded8181 |
|
VISUAL
colorHash
|
32000e00000 |
|
VISUAL
cropResistant
|
4379470d09694349,1f5fcfade6c6d060,4358870c8ca85258 |
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)