Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADA2B83290042A3F51A783CDB723BB2EB1E7A28CC769180597F8575E8BD6E90DD1345B |
|
CONTENT
ssdeep
|
384:7Cy5NCcfVzE5HYpoHezejsqE6IIIRP4RnS1/NfeYxWFwn4LUtZKncwVRIYsOy2+i:7Cy5NCcl9ejsqE6IIIZ4RnS1/NfeYxWP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8329bc3ed46dd2c2 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
b7d3c3c3cd0d3300 |
|
VISUAL
wHash
|
00177960040fffff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
ff7bbcd4949c7fff,0080801858808000,afd7cbc3cbed4d33 |
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.