Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E042EA700180586E26CAF6CDD7A37E06E2C2C561F21F43C9A6D8BA5D1EC6FE5CE81725 |
|
CONTENT
ssdeep
|
192:6jXLWEX2i1nnb/3I96r6D1M601MnT9gL6O1S6R1zoVURSF1DKH2iCPEwzZ8wcYwj:6DKi18UEi4R8bgbN+V+Lc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
921a51f5ad2b6971 |
|
VISUAL
aHash
|
0000003fffffffff |
|
VISUAL
dHash
|
d47cf9710c8f0e16 |
|
VISUAL
wHash
|
00000001efffffff |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
7c5c716f0e0f0e16,6368b5b26c66b9d9,d9f87c5c787cf16b |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)