Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E235AB26722B4B843DB91DEF7382D56B2D28899F8C74414F5C95ACE13C3C842297BB4 |
|
CONTENT
ssdeep
|
768:aO+EsZx8/G8d4kDawoaMYBVwWMYBAwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvK/:aO+EsZ/8WkDawhMYBVwWMYBAw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e66e19492e326e6c |
|
VISUAL
aHash
|
00f3e7e7f3ffffff |
|
VISUAL
dHash
|
45232f2d26062800 |
|
VISUAL
wHash
|
0090808083ffffff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
45232f2d26062800,01229286a6924201,0584998585f1b115 |
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)