Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0234B726332B8B843DF91EEE7382E45B2D2988DF8CB4554B5C55A8E13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aLmS+EsZx8/G8wa4Q9Daw+MSBDowUMSBDBwZqN2/y9dGDTDiJE56ITmH+LCBlvNN:aLmS+EsZ/8wdQ9Daw+MSB8wUMSB1w0NH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbe46cc4c990b599 |
|
VISUAL
aHash
|
b1818f8f8f8f8d89 |
|
VISUAL
dHash
|
43611d19195d5d51 |
|
VISUAL
wHash
|
e1818f8f8f8f8d81 |
|
VISUAL
colorHash
|
1b408008200 |
|
VISUAL
cropResistant
|
43611d19195d5d51,3981392366643113,436898981c9e985a,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)