Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BB33B7C3144753B5AA383B360DD2616B27D831BD80F4C60F254E9AAA7EDC99E01BBD4 |
|
CONTENT
ssdeep
|
1536:o9rV4Ug6LrdY4bLJeNMQKUyzWKHdULDkAzez:obTJeNcCA6LE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a95456a9a9d476a5 |
|
VISUAL
aHash
|
0200003b1b1b1800 |
|
VISUAL
dHash
|
b6017073737bb003 |
|
VISUAL
wHash
|
ff00383f3fbf1800 |
|
VISUAL
colorHash
|
38002200018 |
|
VISUAL
cropResistant
|
f0e422d260b2c4e0,b6017073737bb003 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.