Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156E29471A1106A3F01A7D3C97761AB2FA2D3928EDA8B051643F8939D4FF7E80DD13526 |
|
CONTENT
ssdeep
|
768:tzy5N3Kep7IIIIIIIIIIITwd2S7sOy2+y9BH4cLIe:V4IIIIIIIIIIIbS7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b81245ed966d39b2 |
|
VISUAL
aHash
|
381c86cfffd3f3fe |
|
VISUAL
dHash
|
e1b01c1d34370390 |
|
VISUAL
wHash
|
100c00c7dfd3f1fe |
|
VISUAL
colorHash
|
07003200008 |
|
VISUAL
cropResistant
|
e1b01c1d34370390 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.