Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E593E96034859E391AA373D06730FAC0E769F345C32BCB4D93B4834BB6DAD86D919678 |
|
CONTENT
ssdeep
|
1536:KRY00a7cRPn20hxOFRbxTAdZVeF0Ct2uSo:jzdIbxTAdZVz4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa5af4f5110d1cd6 |
|
VISUAL
aHash
|
00a40001ffdffbff |
|
VISUAL
dHash
|
8c49792be937231c |
|
VISUAL
wHash
|
00800101ffdff3ff |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
8c49792be937231c,000000686c681000,0081619191010181,8382212143439286,5c26e627474d1387 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.