Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2A3FE238269362B4437C3C130695B3BD1A69A8FFEE70A405EDCD7F62AF9C90741A15D |
|
CONTENT
ssdeep
|
1536:2tpR4nXBKpSpFl26vr8ETB9QVFiWsYZzZ:qUM08ETB9QVFiWsYZzZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93176d0713137d4d |
|
VISUAL
aHash
|
001f0f2e3f0f01c7 |
|
VISUAL
dHash
|
dcbf3cdcdcb8b31f |
|
VISUAL
wHash
|
000f0f3f3f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb77cdcdcb9f30f,9cbf7cdcdc38b33f,d9d5181b93924949,48d9a9676168cac8,68100c32320c21d4 |
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 111 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)