Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BE1FD310101ACB755E7B2E062359BAF76D5C31ACE271B0263FA879E1BC2DD1EE66412 |
|
CONTENT
ssdeep
|
192:yISD0MyBi0jZ66scyFsdKroFsKucyFsdKroFsKYN:0IMyB5PdyQy5N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5659a96c6189ac7 |
|
VISUAL
aHash
|
ffc3c3c3e3c7c3db |
|
VISUAL
dHash
|
968696964e969696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
060020000c0 |
|
VISUAL
cropResistant
|
968696964e969696,000808d9ca525849,dedadadada9adb82,b6999faf2f87a1a4 |
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.