Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D5211307503386BA1276680F4A14F5C325B8735D6560A6CF7A52BB6BFCDCF448B63A8 |
|
CONTENT
ssdeep
|
384:+nkdnERh3TYt5LfJyLfkTLfWlLfljLfxArCtTzhBeC3L:1dnERh3TYt5LfJyLfkTLfWlLfljLfxAW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6cc999933cc668c |
|
VISUAL
aHash
|
e7e7f7e7e7e7ffe7 |
|
VISUAL
dHash
|
0c4c050d4d4d004d |
|
VISUAL
wHash
|
27272703c0c0fcc0 |
|
VISUAL
colorHash
|
07e01008000 |
|
VISUAL
cropResistant
|
0c4c050d4d4d004d |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)