Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E425D58A082013F76725BCDD7D47FBEA2D2D80DDBC6AD1192EE41BB4B5AF009747022 |
|
CONTENT
ssdeep
|
192:TKoF2j6FOjH6OHL5kXySn+nhTnCn+nl9nD/xNuESvVCsBQ0mjPER:wr62VYR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecd32c0e5b2c5a6c |
|
VISUAL
aHash
|
00ffffffff938381 |
|
VISUAL
dHash
|
a107054345272627 |
|
VISUAL
wHash
|
00e7fffff7010300 |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
8107054265272627,0000000000000000,8d262527243d7973,3f3fa72167131333,9d1e3c5b5e6c1b1f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.