Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB72D030E058373B06C343D56A307B65B7CAC14ADA2B0E5952F2D35BBBEAE81DC06579 |
|
CONTENT
ssdeep
|
384:ZK4qicbahT+GKWurLBJAq49q4SDq4wHDQU55xCEH/:ZKTahCGAr1eq49q48q4yDQU55xCEH/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1a68624333361f |
|
VISUAL
aHash
|
00ff0f3f7fc7dbdb |
|
VISUAL
dHash
|
c9617a58640f1317 |
|
VISUAL
wHash
|
001f071f7f87c3c3 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
c9607cd86c1f1317,00000a7171780408 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)