Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179D2D731A0502B3B52A783CEB710F76EA3D79289E746090662F8935E4BE7D90DE1351F |
|
CONTENT
ssdeep
|
768:YCSky5NFEPd/plhTPjEWLaKppoHJ7sOy2+y9BH4crIe:7NgiKJ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343d5389d69dc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
90ccccdacc2c8300 |
|
VISUAL
wHash
|
00ee7c680600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,90ccccc0caec0c44 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.