Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA1409BCA318557CE26A4BDCE7B29410221C00DBAB21A5E4CA7E16B0E675CDDDC737C6 |
|
CONTENT
ssdeep
|
1536:E8vRh+BNzuqsBz9g+tG2xD2k8k8CKZm4FHYOK87Eqk8k8CKZm4FHYOK87S+0fYwM:EQRh+jzuqs19goxN84vR847YYOL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d1bc3e432e3cc19c |
|
VISUAL
aHash
|
001eff42687c0c00 |
|
VISUAL
dHash
|
93b8a694d9d8192d |
|
VISUAL
wHash
|
00defffe2c7c0c04 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
c1c2d1b9b063a1c0,93b8a694d9d8192d |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.