Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10123EB3118C46B1B55D3D2C86311AB5BE3D5824CF2BBCA49F5DAC71E16C5E84C83AB6C |
|
CONTENT
ssdeep
|
768:RJad4wyJbUqKB/uPwxxeuu+Ja6NtNNyuUa8Eh96aScBGwlp99tyn5B303M/58Dbe:RJa49JdKB/CwxxeYJaIUha8Eh2wf99t+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb494ebb086f8 |
|
VISUAL
aHash
|
ff000000067e1e76 |
|
VISUAL
dHash
|
71f0ccd0ccccfccc |
|
VISUAL
wHash
|
ff1800003e7e7e76 |
|
VISUAL
colorHash
|
01000000030 |
|
VISUAL
cropResistant
|
0001416363490006,8494c0f4b0881e5a,a62466a424327236,31e0d4f0ccecbccc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)