Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C235B726722B4B883DB91EEFB3C3D46B2D6989DE8C74450B5C95A8D13C3C816187BB4 |
|
CONTENT
ssdeep
|
768:ayvw+EsZx8/G8qRF4QFDawgMSB6wQMSBTqN2/y9dGDTDiJE56ITmH+LCBlvNPqDz:ayvw+EsZ/8cOQFDawgMSB6wQMSB+N2/n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f383a6a3e686a62 |
|
VISUAL
aHash
|
003e3e3e3e3e3e3e |
|
VISUAL
dHash
|
7d70447440404064 |
|
VISUAL
wHash
|
000e3e3e3e3e3e1e |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7d70447440404064 |
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.