Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1684311746846FC3FA1CB8AD55172536AB2E68700CE238685BAF0C3F94BDAD5DDF22105 |
|
CONTENT
ssdeep
|
1536:TsIxcmUI8ivTnm2wvF2v8BvhUv1Fvylv6jvl3oYG0rNhl6DJGf79F:T4ivTTwvF2v8BvhUv1Fvylv6jvlO0rNF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b616e96949b614b6 |
|
VISUAL
aHash
|
000006040000ffff |
|
VISUAL
dHash
|
d6c4cccc33120606 |
|
VISUAL
wHash
|
0020266600ffffff |
|
VISUAL
colorHash
|
1e000038000 |
|
VISUAL
cropResistant
|
e8f0a02969e0e4e8,0200960e08321206,d4c3c4ccccc43307 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.