Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC235B726332B4B843DBA1DEF7382A55B2D3988DE9C74694F1C9568D13C3C806693BB4 |
|
CONTENT
ssdeep
|
1536:aBsQ+EsZ/8AZSQzDawWMSBlwdMSBZN2/y9dGXDiJZBlvy40hxwfwH:asgjwawJN2aDSw0Ea |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfc270c2c631623f |
|
VISUAL
aHash
|
fc9f0387bffe8f03 |
|
VISUAL
dHash
|
cd31164e79c13656 |
|
VISUAL
wHash
|
fc0f03871f7c0f03 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
cd31164e79c13656,cee2b51434640a8e |
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)