Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFB29175F430A47A41A38BE593A5675663F1E34DEA86020063FE836D0AC2DE4FD16D2F |
|
CONTENT
ssdeep
|
768:naEdWgCd77UmWgCd77UmWgCd77UmWgCd77UCYgrdZjeeBiI72qw:naEdWgCd77UmWgCd77UmWgCd77UmWgCs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9855c54e4d383ecb |
|
VISUAL
aHash
|
d8fe8f89999f7f7e |
|
VISUAL
dHash
|
2ae4183b232998a2 |
|
VISUAL
wHash
|
80fe8e81810d7f7e |
|
VISUAL
colorHash
|
07006400000 |
|
VISUAL
cropResistant
|
2ae4183b232998a2 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.