Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFA3FC234219762A4537C7C1307A5B3BD1A6998BFEE709004EECC7F66BFACA0741A15D |
|
CONTENT
ssdeep
|
768:djvltpR4nXF6YjOpSpFlTC6rrWJVRtXLQIkMvn:dj9tpR4nXBKpSpFl26vyVRZLPZvn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d09d31b6d2f |
|
VISUAL
aHash
|
00170f2e2e0f01ff |
|
VISUAL
dHash
|
dcff3cdcdcbd3700 |
|
VISUAL
wHash
|
000f0f3f2f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb77cd8dcbd3700,9cbf3d5cdcdca37f,9b179383b635765a,1c472103170c3c34,d8110c32320c50d8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.