Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EA37933411835274437C6D530A55B3BE2E6999FFAA70A010EECD7EB2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:K1Lz4NP/y9svbliCdyjfP60CyFtiuCa28y2O9:AmAzC0CR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362dd3ab929b443 |
|
VISUAL
aHash
|
00202000000020ff |
|
VISUAL
dHash
|
98c4c4cacc2cd3d2 |
|
VISUAL
wHash
|
00fc74302e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080810030108080,98ccc4cacccc2ed2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.