Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135153221B610BC16C1035ECF5120D925BB4DF739CA1A53D6F7841A379BAACB17DBB828 |
|
CONTENT
ssdeep
|
12288:RL+sO+UE3Ft0ip/xMdwEX6tfb3VmQVBFjysOYAuJmQ+:c6xRjzEuJy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e11ef1699d718e21 |
|
VISUAL
aHash
|
0000200000f0e0ff |
|
VISUAL
dHash
|
9ce5c5c7e2c282d2 |
|
VISUAL
wHash
|
40747c7070f8e0ff |
|
VISUAL
colorHash
|
01000000180 |
|
VISUAL
cropResistant
|
c2828a8282d2d20d,9ce5c5c5c2c28292 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.