Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D74235A29400542B111641CA7657EB4B3483E2468E7A0852A79443AB7FEF7F09CFF39B |
|
CONTENT
ssdeep
|
192:hSiS7oiwQcYIggT8Le69omlu3sIbyxKDW6gtz3pj0Y22a:hSiS7oiwQ8o1wJe3pj/2B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1316d46cf4f3318 |
|
VISUAL
aHash
|
00c3c3ffffe7ffff |
|
VISUAL
dHash
|
961e9e163a0f0c00 |
|
VISUAL
wHash
|
000000000303071f |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
960e9e161e0f0c00,171b5b4e46c2a484,0000343430303410,296c929686ac4d7c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.