Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD5396117B211C2BA117A3D4F2E2DAB3B203F712C74645F4A6E141F2FAC7DB06A66365 |
|
CONTENT
ssdeep
|
192:f/1GW24ttKbYyKKxg0jvtTwd+Ui2bwyVi2bw68i2bwn4qlTtAIGBgNDVSJMGnSgF:ZKxFvtTUwyfw6QwppWXJ0JsJgHwhN81u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93c492e1b0e9ceb9 |
|
VISUAL
aHash
|
ff3c3c00080c0c0e |
|
VISUAL
dHash
|
d0e4705238283818 |
|
VISUAL
wHash
|
ff7e3c1c0c2c0e0e |
|
VISUAL
colorHash
|
06200038200 |
|
VISUAL
cropResistant
|
4020d0d0d0d02000,e4e0711438281818 |
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 212 techniques to evade detection by security scanners and make reverse engineering more difficult.