Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149728473F250EA3F015353D5A71B677AA2D2C146DC83122291FE43ACAAF6D16EC23547 |
|
CONTENT
ssdeep
|
192:NRSEZMncYij4pVXhoE2TS/wSUIM1m+OBP5BZUWsjxetUlQaN89L:NRSEecv4pphoTRlm+OBPNNeEsrNw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92c2c2389a2f |
|
VISUAL
aHash
|
ffe383c3f3ff83ff |
|
VISUAL
dHash
|
2b163216162b2b2b |
|
VISUAL
wHash
|
99e381c1f3ff8181 |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
2b163216162b2b2b |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.