Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6235B72A332B86843DB91EDF7382A55B2D2589EF8C74554F1C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8m84RDat9M7BLt+M7BN7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDva:aq+EsZ/8mHRDat9M7BLt+M7BN7UXx+yB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d6d4d67716900 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07238008000 |
|
VISUAL
cropResistant
|
4d4d6d4d67716900,cccc48ce3abe7060,40d2c29bafd2da40,edf1f151754c8802,fffff7e5dcfcbfdf |
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)