Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A22B6711120167F15434AF4F151BF26B19EE31CDE57F86CB2ACC2B52BEACA4CA8E550 |
|
CONTENT
ssdeep
|
192:tA5AMAvA3AgAnAyZuHgZSBrumAgMqMmSJBgwMCQiNJQRb+Qra9lAnlAt3LsrNG:KKzoQHA8uHgZSBu2NUJaiNMb5+tArU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e0e01f1f69e196 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
2524e465646425a5 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
1b000400030 |
|
VISUAL
cropResistant
|
0042303d1c1d2340,0461616569711204 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.