Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAA3CC234159752A4437C3D030696B3BD2A6D99FFAE70A010EECCBF72BFAC90745A159 |
|
CONTENT
ssdeep
|
1536:TLtpR4nXBKpSpFl26vYSZyDHKLDfn6I2YP:LUMzHuDfneYP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13930f7d0d |
|
VISUAL
aHash
|
001f033e3e0f01e7 |
|
VISUAL
dHash
|
d9bf76fcdc9cf30f |
|
VISUAL
wHash
|
000f033f3f0f05ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda77cdcdcbde30f,98bd27fcdc9cbb77,536b8d6367485555,4e8f9141434e4a5a,cc110c32320c0121 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.