Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A852C7B17010293F82DBC9FDB136AA416758E544E2478B76EDAC47CD18C7D1CED63628 |
|
CONTENT
ssdeep
|
192:pj9UJLFtjqP72eAvb5aOLa+Zl45BY90TZ2:boFdg72eArL145BE092 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c497326cc99d966 |
|
VISUAL
aHash
|
18001818191f1f9f |
|
VISUAL
dHash
|
7161713331727d38 |
|
VISUAL
wHash
|
191818181f1f1fff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
7161713331727d38 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)