Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FB2C773711C6C3612978ACAE2D2B20CD2D3D687CB955494B6E9C36C47F2DB0B993628 |
|
CONTENT
ssdeep
|
384:Br6BCEAFg5l6RzkdLe9WF/9YVtUrBswzrGb8oYIVI/pgokYrmKvtDUeg7eMGeC9o:h7W/pZpoO41 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6669c98b9e99898 |
|
VISUAL
aHash
|
f720e0e0ffffffff |
|
VISUAL
dHash
|
6ecccc4c0d624012 |
|
VISUAL
wHash
|
800060009ffffffe |
|
VISUAL
colorHash
|
06000038200 |
|
VISUAL
cropResistant
|
6ecccc4c0d624012,7f7f1f9f7f7f9fe6,902652aa63e2aaaa |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)