Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1448B234219792A4437C7D024A99B7AD5A6DE4BFAE70A400FECC7F73AF9C50741A21D |
|
CONTENT
ssdeep
|
1536:IRVgUgQmTa3MZo+Hd1+w05moT6d+Smfu4/ZT4oU5yX0I++RKIwmvSpO5CmBPR+qq:1OQuCfQGs4Y+z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e051c29e167eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cd286161433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
209290d7d3d59090,3c6ede8ece8e8e8d,d607968c3027070c,aa008a8e86920082,8c8292d2862f9394 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)