Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFB3FE234119752B4437C6C1306A5B3BD1AA9A8FFEEB0A015EDCC7FA2AF9C90741B15D |
|
CONTENT
ssdeep
|
768:IotpR4nXF6YjOpSpFlTC6rrW8787CiTDFhRWygNT:btpR4nXBKpSpFl26vEXUT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d09d3176d2d |
|
VISUAL
aHash
|
000f0f2e2e0f01ff |
|
VISUAL
dHash
|
dcbf7cdcdcb8b300 |
|
VISUAL
wHash
|
000f0f2f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd375cdcdcb9f700,dcbd3cdcdcdcb377,999913929292a9a1,4e8f114943464e5a,68081032320c21d4 |
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 111 techniques to evade detection by security scanners and make reverse engineering more difficult.