Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9C2A731A010373F025793DDB351F72EA2E35389D746090962F8936D9BE7EA0DA6352B |
|
CONTENT
ssdeep
|
384:Ute/y5NlrTndv2SNGDtspNDckD5OJNppEmGBIYsOy2+y9BH4ciUIe:Ce/y5NlHf+kD07C7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9129cc83 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
144cc4cacccd9300 |
|
VISUAL
wHash
|
80f6fa202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cc4c6c8cccd03 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.