Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1F207616200155721A7B5CCD921FEAEB9D2EB0FCAC586942EADC7C40FC2E74772C66C |
|
CONTENT
ssdeep
|
192:tqoq33VuLjaGE49EB5RkqJpquCtny1U0BH/glCavs0Y7a/tl3QuCWlakQnJ8QAYf:gnVkGGBIwuCtnmov5u76bJT8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d696ab59562aa9d0 |
|
VISUAL
aHash
|
3e3eff80fce97f7f |
|
VISUAL
dHash
|
646002040413eaea |
|
VISUAL
wHash
|
1e3eff00fc005a3b |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
646002040413eaea,0f334d92924d2b17 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)