Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE6233B09041AB3F42A3A1D4AB761B5FB3839646DB031B2593F9839E5FCBD14CD381A5 |
|
CONTENT
ssdeep
|
384:TpOp2OxBXGPyPFpNk9Gs90s90s90s90s90aDITVup1:TpuGKF8As6s6s6s6s6aDIVu1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92926d6d6db2928e |
|
VISUAL
aHash
|
833c7c4c00600000 |
|
VISUAL
dHash
|
12edcd8d32ccd0d4 |
|
VISUAL
wHash
|
f37c7c4c10665e62 |
|
VISUAL
colorHash
|
38c01008000 |
|
VISUAL
cropResistant
|
e2d9f874eec6868a,12edcd8d32ccd0d4 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)