Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15253B661135C18FE3026E38AED08BB0AB58598BEFF0E47C579E4D56E34D5DA8C932349 |
|
CONTENT
ssdeep
|
1536:/36hZnbKemlUcuXw/tk7ZyjYHXB4Lz1BlKuk4o3TBhwt4buoYIrAdisz:v6hZnbKemlUcug/tyL31hWEu9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a25465aad9a394f |
|
VISUAL
aHash
|
000000ffff3c3cff |
|
VISUAL
dHash
|
d4d429aa515571e0 |
|
VISUAL
wHash
|
000000ffbd3cbdff |
|
VISUAL
colorHash
|
3300000e000 |
|
VISUAL
cropResistant
|
d4d429aa515571e0 |
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 997 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)