Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18944E972A300A66E50E345A8B257FF2FF2A8C305C227565DD3ED81B16B8EC95DE253C4 |
|
CONTENT
ssdeep
|
6144:nThzPR17ckThzPR17ckThzPR17ckThzPR17cEnWvOsw:nThzPR17ckThzPR17ckThzPR17ckThzt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1141c6d96936d7c |
|
VISUAL
aHash
|
00c0c36fe3636004 |
|
VISUAL
dHash
|
b6b98fcccec3c338 |
|
VISUAL
wHash
|
02c1c3efe3e3e18c |
|
VISUAL
colorHash
|
01003000180 |
|
VISUAL
cropResistant
|
2b1b2b2b092b2b6b,14d046716c7c6666,3c60073260640064,e8a4841919a4a46c,b6b98fcccec3c338 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.