Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B78286308216181A916BA2D4BDA19B4F2337D24BE742096C57FE25A2F7CFCB484BF5D1 |
|
CONTENT
ssdeep
|
384:SeJBUGoYrrBTPzI/eSsf/Ejy+jQ1Wcvgfc0XuB+SeT0:rBUGoYrrBTesf/Ejy+E1wc0X++zT0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc23b332cc |
|
VISUAL
aHash
|
efffe7e7ffffff00 |
|
VISUAL
dHash
|
0c004d4d000c0030 |
|
VISUAL
wHash
|
e4c4c4c43c3cff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c000d4d000c0028,0101013131010101,0460790832320800 |
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 3953 techniques to evade detection by security scanners and make reverse engineering more difficult.