Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BB221B0C1639D3F722380C59291EFAA31B0161BDFA64714A7E9A3B0CED9C7279D149D |
|
CONTENT
ssdeep
|
384:vwQ/HkW+cpsQ3wS9ONEQcOqOEiN+na1u50L4517:vwQ/HkW+cpsQ3wpNDcOqOEiN+na1u8a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cccc3333cc8c33 |
|
VISUAL
aHash
|
ffffffe7e7e7ffff |
|
VISUAL
dHash
|
0010080c4d0c1000 |
|
VISUAL
wHash
|
f0f0e4e407070f0f |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
0010080c4d0c1000 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)