Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1631274A570545B3B128753C067B5A32B3295D3A6FBCB13A50AFBC3F817D6EA4DC22085 |
|
CONTENT
ssdeep
|
192:L7gz+b5j0bIMlcDzDiEnQxhB8SohPMj1PAuDINDHanhrDZhrDZhrDs:+MQplcfD2hB8SohPMj1ouEan9Z9Z9s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6664c5919393373 |
|
VISUAL
aHash
|
00e7e7e7ffffffff |
|
VISUAL
dHash
|
214d4d4d684c0c30 |
|
VISUAL
wHash
|
00252727e4ece4e4 |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
2d4d4d4d684c0c30,8040414145454080,223434342664e0e2 |
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 211 techniques to evade detection by security scanners and make reverse engineering more difficult.