Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEC2B632A004273B129793D9B322F72E92E79288D755091653F9936D4FD7EE0DE3341A |
|
CONTENT
ssdeep
|
384:LFe/y5N0QbPice82R6H2327KrTaP0AtWFcXcl36sIYsOy2+y9BH4ciUIe:5e/y5N0AeuxP05lF7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c377fc3a9829c192 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cccc2cccde300 |
|
VISUAL
wHash
|
80eef6300400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6e2cccde3 |
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.