Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15403D763614C263B07A306C3E6A5A3C9B366919A8763020D61FDC38C17FADE5DF27196 |
|
CONTENT
ssdeep
|
768:q88cIIeNPwY6n2NoAA/VQeOSnV+qc9jUmtkO7vfvLp+V:9xIIeNF6n1sqE2s9A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b062476a7362f2e3 |
|
VISUAL
aHash
|
0000ffc7cfdfffff |
|
VISUAL
dHash
|
8d3a1e1f1f9b1f1c |
|
VISUAL
wHash
|
008183c7c7c7cfcf |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
00040d0d0d8d0091,3f1f1f1f1f931f1c,2121250d4d252121,909896d9d9969090 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.