Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E235C726332B87843DB92DEF7382D46B2D25499E8C74654F1C99ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a19Q+EsZx8/G8kb4bDVS15MwBwZoS1eMwBwZCUuix+y9dQpUDF1E56ITmHTCd3mi:ao+EsZ/8kCDVSjMwB3SkMwBJUxx+y9da |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af90e465e5d0d4d4 |
|
VISUAL
aHash
|
83818d8981818181 |
|
VISUAL
dHash
|
235b595b4b5b5b5b |
|
VISUAL
wHash
|
ff8f8f8f81818181 |
|
VISUAL
colorHash
|
32e00400000 |
|
VISUAL
cropResistant
|
235b595b4b5b5b5b,fefdf5e1f1f3e4e0,343038383cbc9c09,43d8dad8c098d0c8 |
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)
Found 3 other scans for this domain