Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174933BE43919B5270AB343A7509F1103B379122B441D4D70A250FE9FB6F8C9AB16BFDA |
|
CONTENT
ssdeep
|
1536:rKEsTMKMjIgBkGhOlUuRNka2wblHbJLwLIz9GguGOjjRnK:r3sTMKMjIgBkGhOrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea95d038956b1e6a |
|
VISUAL
aHash
|
ffff8181818181ff |
|
VISUAL
dHash
|
4033414121191555 |
|
VISUAL
wHash
|
ffff8181818080ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4033414121191555,75a4545265a99995,8a00104c4c0880a2,78e480d0c0008000,11146c9c91e2b2b4 |
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 220 techniques to evade detection by security scanners and make reverse engineering more difficult.