liquid-speech-balloon Plugin 1.0.5 on WordPress cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in liquid-speech-balloon Plugin 1.0.5 on WordPress. Affected by this issue is some unknown functionality. Performing a manipulation results in cross site scripting. This vulnerability is identified as CVE-2019-17070. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in liquid-speech-balloon Plugin 1.0.5 on WordPress (WordPress Plugin). It has been classified as problematic. This affects some unknown processing. The manipulation with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:
The liquid-speech-balloon (aka LIQUID SPEECH BALLOON) plugin 1.0.5 for WordPress allows XSS with Internet Explorer.
The weakness was released 10/10/2019. This vulnerability is uniquely identified as CVE-2019-17070 since 10/01/2019. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.2VulDB Meta Temp Score: 5.2
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
10/01/2019 🔍10/10/2019 🔍
10/11/2019 🔍
01/07/2024 🔍
Sources
Advisory: gist.github.comStatus: Not defined
CVE: CVE-2019-17070 (🔍)
GCVE (CVE): GCVE-0-2019-17070
GCVE (VulDB): GCVE-100-143331
Entry
Created: 10/11/2019 09:32Updated: 01/07/2024 16:36
Changes: 10/11/2019 09:32 (34), 10/01/2020 09:53 (18), 01/07/2024 16:36 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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