Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187A36833411935274437C6D430B95B3BE2A69E5FF9A70A010EECD7EA5BFACA0744A11A |
|
CONTENT
ssdeep
|
768:+w1Ky5NxDSS2TPGLz4NP3+mZY9svblTOCVrQXYtrxawFcpPfpY6w9BYAccuyPJF3:BLz4NP/y9svbliCd0daJFtSuCa2GG2Ao |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c377fc3a912c8d03 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
0c4cc6cac8c953d0 |
|
VISUAL
wHash
|
c0eef2202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
4000c081585a8090,844cc4c6c8cdc543 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.