Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137A36833415835274437C6D430A55B3BE2E69A5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:1PLz4NP/y9svbliCdh+tgFtiuCa28y2O9:hmAI6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f42a8d69e169 |
|
VISUAL
aHash
|
00040000000001ff |
|
VISUAL
dHash
|
1c0cc840c9cd0fb0 |
|
VISUAL
wHash
|
00c6e0302d07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c2c4c48e9cdcf1b |
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.