Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6636DF9B480F91346F340D360BF2A03737D540FA81D4960E25CDADEB5E486A6167BE9 |
|
CONTENT
ssdeep
|
1536:x3TJ9jDpvg4sFRMLB4wjrvZSH6zQ2N0msQw:xjLpvlZVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96966939a4cfc532 |
|
VISUAL
aHash
|
26043c3c0404107a |
|
VISUAL
dHash
|
cc0d6d6d0cccd0e2 |
|
VISUAL
wHash
|
66043c3c063e78ff |
|
VISUAL
colorHash
|
38400018040 |
|
VISUAL
cropResistant
|
d0b0d11978d088c7,08103230300c1000,cc0d6d6d0cccd0e2 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)