Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2C2A535E000273B42A793C9F351F35EA2A7A28AD646090553F897DD4FD7E90DE2391B |
|
CONTENT
ssdeep
|
384:tDe/y5NWqd54YP2R6p2327KNTK/00wF6hcl3AmIYsOy2+y9BH4ciUIe:1e/y5NWc/3/07lZ7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363fc3a9c29c193 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cccc2cccde300 |
|
VISUAL
wHash
|
80eef6300400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940ccccee2cccde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)