Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125126333A600DD6A4D9B468CF1C49588421EC38AFB3148CBB26491FF7BC4DF169A979D |
|
CONTENT
ssdeep
|
192:ldLwd29Lx7iMcnthWeNWbnfMmUU8VCoGgl:bLwA1fMmUFCoGE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b632c9c9265cd939 |
|
VISUAL
aHash
|
0707070707ffffff |
|
VISUAL
dHash
|
8f8d2d2dcf008c00 |
|
VISUAL
wHash
|
0101070303fffffe |
|
VISUAL
colorHash
|
06440001000 |
|
VISUAL
cropResistant
|
aace7eae16be2eba,8f8d2d2dcf008c00,dadeced8cccce868,e868c9605d98e090 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.