Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA029591E464DD360B2289D5F7B77B2BB6B0C245CB420E9066F4537E67CEDA0C72188C |
|
CONTENT
ssdeep
|
192:o7DZeannnnnz0ONKJ8mu0KWXi0462OAckarL1r/8F:cVeannnnzxKKeKwdUZckIZ8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a377237c0d5d095c |
|
VISUAL
aHash
|
00e7cfffffffff3f |
|
VISUAL
dHash
|
4d0c1830308000d0 |
|
VISUAL
wHash
|
00e38f8f80f0b030 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4d0c1038308000d0,0000000000000000 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.