Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B03537654449A3F16C382CA7BB42B5EF2D6E24ACA671B1A63F8C30D47C6EC1CD31952 |
|
CONTENT
ssdeep
|
384:Hq5BbeoHCDbrR+ISxccAeGW27QRP+gH6lwdhdNU9M0oq4QALgQIVv+TCd/9qQ3I:HcBbegc+IAun7q+5YsoqGB2v0Q3I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e7cf107d91c9c32 |
|
VISUAL
aHash
|
ff0000181c1000ff |
|
VISUAL
dHash
|
234f757171e555ab |
|
VISUAL
wHash
|
ff001c3e3c3c00ff |
|
VISUAL
colorHash
|
0a038000040 |
|
VISUAL
cropResistant
|
020c02222322020d,e7b757c18d95b0a0,e92024830b8b2320,0008146970702004,474d7171f16569ab |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.