Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133F1DB30E700D449B167F6C4BB933B4B438AD3A99B09867529D8219880CFAF97B773D4 |
|
CONTENT
ssdeep
|
96:vCtFz6Ps5GSSFVpRKildASHik+cty84MeQp0QBhpF5:vCtFO0+vpRJzty+NtBhf5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
966d326d96cd3864 |
|
VISUAL
aHash
|
0606183c3c00000e |
|
VISUAL
dHash
|
3c5c326968325ccc |
|
VISUAL
wHash
|
df1f3e3c3c1e000e |
|
VISUAL
colorHash
|
38007000080 |
|
VISUAL
cropResistant
|
8a88abcf292bca8a,3c5c326968325ccc |
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.