Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7234A726722B8B843DB91DEF73C2956B2C2489DF8D74454F5C99A8D23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aF+EsZx8/G804oDawpMcBbwPMcB8w9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:aF+EsZ/8voDawpMcBbwPMcB8wh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a6a6b94959585 |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
0151613c2f000000 |
|
VISUAL
wHash
|
00000083c7ffffff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
0151613c2f000000,0000103020200000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.