Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AB2FD355263CFAE5187C3E036AFAB5DBAB8C3D9DE678509F7F88249078ED044D40294 |
|
CONTENT
ssdeep
|
768:usEgDheACxJSLGCdtT9lD6QTHdntpeZtVs:uPZCdtDb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
906d6fb0b4c59339 |
|
VISUAL
aHash
|
000026ffcfce0000 |
|
VISUAL
dHash
|
b211cc9c9c9c2358 |
|
VISUAL
wHash
|
1b003fffefcf8000 |
|
VISUAL
colorHash
|
30001000180 |
|
VISUAL
cropResistant
|
2124a4241ecece1c,c6c1c9ca5ad4ddac,b211cc9c9c9c2358 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)