Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4321133A044852E4EAB92DDEBC8F259A25DC146F730C88255F9913F9B81EED783136D |
|
CONTENT
ssdeep
|
192:JSaVlxtDCPvuFHSTH2HSZHBHODfg+bHcHdHwHYUfMmUU8VCoAsG:JPlxtSESTySloDfg+LsZwYUfMmUFCo0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b979c484699b92e6 |
|
VISUAL
aHash
|
81818181c3ffffff |
|
VISUAL
dHash
|
23270b0b23d06fdc |
|
VISUAL
wHash
|
81818181819fffff |
|
VISUAL
colorHash
|
17000e00000 |
|
VISUAL
cropResistant
|
23270b0b23d06fdc,3fdfde8e64c6d0e0,436d83840c8ca8a1 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)