Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179452AF0F55CA2FC008F57D488212DFCB35E70A5FA12452596BC92ADD6E2E49C94BC2E |
|
CONTENT
ssdeep
|
3072:RoADZNeLTpSnScVi1DVCqyTYUegDxc9UqAP95lqX:RoAOCS9ypzFqX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d49aa724c95de649 |
|
VISUAL
aHash
|
fffffc00000000ff |
|
VISUAL
dHash
|
2b30c810948456ca |
|
VISUAL
wHash
|
fffffe80000000ff |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
6a22b4f008101090,c3c07cdba120da60,d8d00012082b0f00,08101094849416d2 |
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 257 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)