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CNVD
CNVD
•added 2017/10/09 12:00 a.m.•14 views

Cisco Spark Messaging Software HTML Injection Vulnerability

Cisco Spark Messaging Software is a collaboration service solution from Cisco. The program by providing a virtual space, so that teams in any location can work together, call and video, and can discuss issues, storage team files and documents. A cross-site scripting vulnerability exists in the We...

5.4CVSS5.5AI score0.00928EPSS
SaveExploits0References1
NVD
NVD
•added 2017/10/05 7:29 a.m.•28 views

CVE-2017-12269

A vulnerability in the web UI of Cisco Spark Messaging Software could allow an authenticated, remote attacker to perform a stored cross-site scripting XSS attack. The vulnerability is due to insufficient input validation by the web UI of the affected software. An attacker could exploit this...

5.4CVSS5.3AI score0.00928EPSS
SaveExploits0References2
Prion
Prion
•added 2017/10/05 7:29 a.m.•23 views

Cross site scripting

A vulnerability in the web UI of Cisco Spark Messaging Software could allow an authenticated, remote attacker to perform a stored cross-site scripting XSS attack. The vulnerability is due to insufficient input validation by the web UI of the affected software. An attacker could exploit this...

3.5CVSS5.3AI score0.00928EPSS
SaveExploits0References2
Cvelist
Cvelist
•added 2017/10/05 7:00 a.m.•30 views

CVE-2017-12269

A vulnerability in the web UI of Cisco Spark Messaging Software could allow an authenticated, remote attacker to perform a stored cross-site scripting XSS attack. The vulnerability is due to insufficient input validation by the web UI of the affected software. An attacker could exploit this...

5.3AI score0.00928EPSS
SaveExploits0References2
CVE
CVE
•added 2017/10/05 7:00 a.m.•74 views

CVE-2017-12269

CVE-2017-12269 affects the web UI of Cisco Spark Messaging Software. The issue is stored XSS caused by insufficient input validation in the web UI, allowing an authenticated, remote attacker to inject XSS content. A successful exploit could force a user to execute attacker-specified code or leak ...

5.4CVSS5.2AI score0.00928EPSS
SaveExploits0References2Affected Software1
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2017/10/05 12:00 a.m.•6 views

CVE-2017-12269: Improper Neutralization of Input During Web Page Generation

A vulnerability in the web UI of Cisco Spark Messaging Software could allow an authenticated, remote attacker to perform a stored cross-site scripting XSS attack. The vulnerability is due to insufficient input validation by the web UI of the affected software. An attacker could exploit this...

5.4CVSS6.1AI score0.00928EPSS
SaveExploits0References2
Cisco
Cisco
•added 2017/10/04 4:00 p.m.•74 views

Cisco Spark Messaging Stored Cross-Site Scripting Vulnerability

A vulnerability in the web UI of Cisco Spark Messaging Software could allow an authenticated, remote attacker to perform a stored cross-site scripting XSS attack. The vulnerability is due to insufficient input validation by the web UI of the affected software. An attacker could exploit this...

5.4CVSS5.3AI score0.00928EPSS
SaveExploits0References1
CNVD
CNVD
•added 2017/09/19 12:00 a.m.•20 views

Apache Spark Deserialization Program Code Execution Vulnerability

Apache Spark is a large-scale data processing engine that supports acyclic data streams and in-memory computing from the Apache Software Foundation. A security vulnerability exists in Apache Spark versions 1.6.0 through 2.1.1, which stems from the program's failure to securely deserialize data. A...

7.8CVSS7.4AI score0.00734EPSS
SaveExploits0References1
PyPA
PyPA
•added 2017/09/13 4:29 p.m.•21 views

PYSEC-2017-147

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

7.8CVSS8AI score0.00734EPSS
SaveExploits0References4Affected Software1
OSV
OSV
•added 2017/09/13 4:29 p.m.•19 views

PYSEC-2017-147

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

7.8CVSS7.9AI score0.00734EPSS
SaveExploits0References2
Prion
Prion
•added 2017/09/13 4:29 p.m.•27 views

Deserialization of untrusted data

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

7.2CVSS7.9AI score0.00734EPSS
SaveExploits0References2Affected Software1
NVD
NVD
•added 2017/09/13 4:29 p.m.•27 views

CVE-2017-12612

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

7.8CVSS7.9AI score0.00734EPSS
SaveExploits0References2
OSV
OSV
•added 2017/09/13 4:29 p.m.•27 views

CVE-2017-12612

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

7.8CVSS7.7AI score
SaveExploits0References2
CVE
CVE
•added 2017/09/13 4:00 p.m.•106 views

CVE-2017-12612

CVE-2017-12612 affects Apache Spark 1.6.0 through 2.1.1. The root cause is unsafe deserialization in the launcher API over the socket, allowing code execution by an attacker with access to the local user account running the Spark application. The vulnerability does not apply to apps started via s...

7.8CVSS7.9AI score0.00734EPSS
SaveExploits0References2Affected Software1
Cvelist
Cvelist
•added 2017/09/13 4:00 p.m.•36 views

CVE-2017-12612

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

7.9AI score0.00734EPSS
SaveExploits0References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2017/09/13 12:00 a.m.•6 views

CVE-2017-12612: Deserialization of Untrusted Data

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

7.8CVSS7.9AI score0.00734EPSS
SaveExploits0References2
CNVD
CNVD
•added 2017/07/13 12:00 a.m.•12 views

Apache Spark Cross-Site Scripting Vulnerability

Apache Spark is a large-scale data processing engine that supports acyclic data streams and in-memory computing from the Apache Software Foundation. A security vulnerability exists in Apache Spark versions prior to 2.2.0. The vulnerability can be exploited by an attacker to inject scripts by...

6.1CVSS6.2AI score0.0338EPSS
SaveExploits0References1
Prion
Prion
•added 2017/07/12 1:29 p.m.•25 views

Code injection

In Apache Spark before 2.2.0, it is possible for an attacker to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. This data, which could contain a script,...

4.3CVSS6.3AI score0.0338EPSS
SaveExploits0References2Affected Software1
NVD
NVD
•added 2017/07/12 1:29 p.m.•43 views

CVE-2017-7678

In Apache Spark before 2.2.0, it is possible for an attacker to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. This data, which could contain a script,...

6.1CVSS6.3AI score0.0338EPSS
SaveExploits0References2
OSV
OSV
•added 2017/07/12 1:29 p.m.•35 views

CVE-2017-7678

In Apache Spark before 2.2.0, it is possible for an attacker to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. This data, which could contain a script,...

6.1CVSS6.8AI score
SaveExploits0References2
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