Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195A37933415935274437C6D530A55B3BE2E68A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:UedG6mfLz4NP3+mZY9svblTOCVrkxCQpmzY6FtiuCa28y2OZL:2fLz4NP/y9svbliCdpXBFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43acd69c541 |
|
VISUAL
aHash
|
00040000000001ff |
|
VISUAL
dHash
|
1c2cc848c9cd9fb0 |
|
VISUAL
wHash
|
80c4e0202f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c2c4c48c9cdcd0b |
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.