Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B32DE2274887427079663EEA931935EE793816ACF270F4663E18F0E9FD6E42CD1245F |
|
CONTENT
ssdeep
|
192:QUxrhIwiERJ1pEqTO8WEoa4wyJp+qwpgf42yMU1:QqrhIJ7u9k42yMK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34c6659195c334f |
|
VISUAL
aHash
|
00ffe7ffffefe7e7 |
|
VISUAL
dHash
|
8e088c94585c4c4c |
|
VISUAL
wHash
|
00c3070fcccce3e7 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
0e0c8c90585c0c4c,000004ccc8d40000 |
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)