Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA125333A600DD2A8DAB52C8F5C49588415DD346F63148C7B2A491FF7BC4EF069E939D |
|
CONTENT
ssdeep
|
192:a5Wd0FgT9xPwMcnthWeNWbnfMmUU8VCodg:a5q0FMfMmUFCodg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd4db4b07c33b2b0 |
|
VISUAL
aHash
|
001818183cffffff |
|
VISUAL
dHash
|
72626a6a72002000 |
|
VISUAL
wHash
|
0018181818ffffff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
72626a6a72002000,040b0b0b0b1b0b2b,c020202020202224 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.