Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10772C73583147F7DA29743E4CF387B7E135592C2E51A0664A6F88719AEC1E8EDC236E0 |
|
CONTENT
ssdeep
|
192:JXM0eh8fKKlhDIh4MeVqGFF9rVIWRdQWu5RFq+w6SG6ZvLOQUS:VM0TdwhxMqGFzO72TODS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7623d5b590d5839 |
|
VISUAL
aHash
|
00e7e7ffffffffff |
|
VISUAL
dHash
|
500c0e00040c162b |
|
VISUAL
wHash
|
00c3c3f7d8c08b81 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
500c0e00040c162b,000029d6d6814000 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)