Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195146454B2E29D32711F81E294A467090092FBBBC7411FC767B14AB1EBF58BD3C4E299 |
|
CONTENT
ssdeep
|
3072:ILVSI4I1aEzqCMgDEbZxMrGdZOzGSsnXlj+9gOWznPi7/jSeOC37VWBIr4c+K:I2K/gnVqGiFcc+K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a608185d775d5d33 |
|
VISUAL
aHash
|
007fffe7e7ffe7e7 |
|
VISUAL
dHash
|
0cf28c4d4d0c4d4d |
|
VISUAL
wHash
|
000067e7e7e7e762 |
|
VISUAL
colorHash
|
06007000080 |
|
VISUAL
cropResistant
|
8000c082a2800080,f08c4d4d4d004d4d,4145808280c02120,4a5a545668565ad4 |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.