Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132D3C7312261DB3F340BD1E8A766A7E9754AF305D542E614C3F9127A3BCAC85E813EC6 |
|
CONTENT
ssdeep
|
3072:QwQ0U0Eo00009hlFl1Jllll9gov/ZC4I7L4gov/ZC4I7L4YY8IMMc08a1559pNNa:ciSLT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b662c81c26f35e2e |
|
VISUAL
aHash
|
10000406021cffff |
|
VISUAL
dHash
|
a4938c4c6630c908 |
|
VISUAL
wHash
|
73080626021effff |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
a4938c4c6630c908 |
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 3720 techniques to evade detection by security scanners and make reverse engineering more difficult.