Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10631E03990029E1B031368F0B5D17B2EF897A20FE69738A015FC52E967E1E548B6A685 |
|
CONTENT
ssdeep
|
24:hR01AqDfkUQjjdoZWEPVm4iPNJ6nJIReENcz9am/xVV2o2FCpz4Wdvga:TGzsUQ2Zfg4iqnYhKzbVnaQ4WxF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc6699cc329966 |
|
VISUAL
aHash
|
ffffe7ffffcfa5e7 |
|
VISUAL
dHash
|
00104c28325a4c0c |
|
VISUAL
wHash
|
0f0f273f1b0b0707 |
|
VISUAL
colorHash
|
07000007040 |
|
VISUAL
cropResistant
|
00104c28325a4c0c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.