Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11772DDE09025993F853390D1A2246BADB5E2524CE7F387D192FCB35EB7C8C95E4109BE |
|
CONTENT
ssdeep
|
96:Pto76bFxZRtNSyNswCabFjeqFAa1XohaxcOBptqxAGbBwC58D0L70qSw0a:PhbFhXbC+8a9BptqxAiv7050 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343a8bcbeae4343 |
|
VISUAL
aHash
|
ff0000ffffffffff |
|
VISUAL
dHash
|
00d0402800000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e0000081c0 |
|
VISUAL
cropResistant
|
090b0a0080800000,0000000000000000,00dcdcd0d0c84800 |
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 84 techniques to evade detection by security scanners and make reverse engineering more difficult.