Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAA13271A149D85F44A1C2E48B7AF7196B568244CB230F0457F84BAE6AC7DE5CC231EC |
|
CONTENT
ssdeep
|
96:D9AuCJAy3jamtRCJHt3J9tuMLFuM4a6inNbxq:L+Ay3jamPaH394+x4BW1q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63e91f19c86ef80 |
|
VISUAL
aHash
|
c1001010e0f47e7e |
|
VISUAL
dHash
|
019561e9c6c8c4c8 |
|
VISUAL
wHash
|
f7001010e0fc7eff |
|
VISUAL
colorHash
|
18000001640 |
|
VISUAL
cropResistant
|
36d636c6848c6cc5,a290059adccca83b,019561e9c6c8c4c8 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)