Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112A35933411975274437C6D430B95B3BD2EA9A5FFAA70A010EECD7EA1BFAC90744B11A |
|
CONTENT
ssdeep
|
1536:JhLz4NP/y9svbliCde2c9Z6DFfFtSuCa2FG2Ao:DmA12coy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d216d5329529b54f |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
ccccc8c8cd8dd3d0 |
|
VISUAL
wHash
|
0efc30007e6178ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
c48081005a9a8080,ccccc4c8cccd8dd0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)