Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9C297715280263B419783CDB361FB2FE2E39289DB8A091596FC935D5BE7F90C91342A |
|
CONTENT
ssdeep
|
768:ISCy5NfS0zoazJyLwQroPZiLV47sOy2+y9BH4c1Ie:qkJyLGPZu47sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
932bf532f128c6cc |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c59e2d0f9f9bb00 |
|
VISUAL
wHash
|
003f38081c0dffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,5c5962d0d0f9f93d |
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.