Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1155114209055AC33A107D1E8B6E4BB0B76D7C304C6871A0993F493AD2AE3D9DDEA115C |
|
CONTENT
ssdeep
|
48:RJhhzpDkzzCqyAsB20xN0pkXec+w2699ui5babAa9VAJYl:tvkz4s0xN0pkXecf99uiJarAJS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83a77fd9d988d880 |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0cccccdd8d0d0d4 |
|
VISUAL
wHash
|
3f27373f3f370000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c989a90808084,88a0400000000000 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.