103 matches found
Code injection
HDFS clients interact with a servlet on the DataNode to browse the HDFS namespace. The NameNode is provided as a query parameter that is not validated in Apache Hadoop before 2.7.0...
CVE-2017-3161
The HDFS web UI in Apache Hadoop before 2.7.0 is vulnerable to a cross-site scripting XSS attack through an unescaped query parameter...
CVE-2017-3162
HDFS clients interact with a servlet on the DataNode to browse the HDFS namespace. The NameNode is provided as a query parameter that is not validated in Apache Hadoop before 2.7.0...
CVE-2017-3162
Apache Hadoop CVE-2017-3162: A vulnerability in the HDFS namespace browsing flow where the DataNode servlet accepts a NameNode URL as a query parameter without validation, allowing an attacker to bypass security restrictions. Affected software includes Hadoop versions prior to 2.7.0; the issue st...
CVE-2017-3161
CVE-2017-3161 affects Apache Hadoop’s HDFS web UI (pre-2.7.0). The vulnerability is a cross-site scripting flaw caused by an unescaped query parameter, enabling a remote attacker to run scripts in the victim’s browser (potential cookie theft) via specially crafted URLs. The connected documents co...
CVE-2017-3162
HDFS clients interact with a servlet on the DataNode to browse the HDFS namespace. The NameNode is provided as a query parameter that is not validated in Apache Hadoop before 2.7.0...
CVE-2017-3161
The HDFS web UI in Apache Hadoop before 2.7.0 is vulnerable to a cross-site scripting XSS attack through an unescaped query parameter...
Apache Hadoop DataNode Missed Validation Vulnerability
HDFS clients interact with a servlet on the DataNode to browse the HDFS namespace. The NameNode is provided as a query parameter that is not validated. Apache Hadoop versions 2.6.x and earlier are affected. CVE-2017-3162: Apache Hadoop DataNode web UI vulnerability Severity: Important Vendor: The...
Hadoop HDFSBrowser information disclosure
Browsing the HDFS datalake ========================== Description ----------- There are 2 different and distinct approaches to browse the HDFS datalake: A. Through the WebHDFS API B. Through the native Hadoop CLI WebHDFS ------- WebHDFS offers REST API for users to access data on the HDFS...
Escalation Of Privileges
hadoop-hdfs is vulnerable to escalation of privileges. It does not check for admin authorization for the refreshNamenodes, deleteBlockPool and shutdownDatanode commands. This allows remotely authenticated attackers to perform these commands or cause denial of service attacks...
Information Disclosure
Apache Hadoop is vulnerable to information disclosure. A local user on an HDFS DataNode may be able to generate a block token that grants unauthorized read access to random files by guessing certain fields in the token...
CVE-2016-6656
An issue was discovered in Pivotal Greenplum before 4.3.10.0. Creation of external tables using GPHDFS protocol has a vulnerability whereby arbitrary commands can be injected into the system. In order to exploit this vulnerability the user must have superuser 'gpadmin' access to the system or hav...
CVE-2016-5393
In Apache Hadoop 2.6.x before 2.6.5 and 2.7.x before 2.7.3, a remote user who can authenticate with the HDFS NameNode can possibly run arbitrary commands with the same privileges as the HDFS service...
CVE-2016-5393
In Apache Hadoop 2.6.x before 2.6.5 and 2.7.x before 2.7.3, a remote user who can authenticate with the HDFS NameNode can possibly run arbitrary commands with the same privileges as the HDFS service...
Network-based DNS logging in Go: GoPassiveDNS
A network-capture based DNS logger, inspired by passivedns. It uses gopacket to deal with libpcap and packet processing. It outputs JSON logs. It is intended to deal with high volume query capture in environments with anywhewre from one to hundreds of DNS resolvers. Why not use PassiveDNS from...
CVE-2015-1889
The Big SQL component in IBM InfoSphere BigInsights 3.0 through 3.0.0.2 allows remote authenticated users to bypass intended HDFS data-access restrictions via 1 a crafted CREATE HADOOP TABLE statement referencing the data of an arbitrary user or 2 an import of a certain Hive table definition with...
Design/Logic Flaw
The Big SQL component in IBM InfoSphere BigInsights 3.0 through 3.0.0.2 allows remote authenticated users to bypass intended HDFS data-access restrictions via 1 a crafted CREATE HADOOP TABLE statement referencing the data of an arbitrary user or 2 an import of a certain Hive table definition with...
CVE-2015-1889
IBM InfoSphere BigInsights Big SQL component (versions 3.0–3.0.0.2) contains an unauthorized HDFS data-access bypass vulnerability. A remote authenticated user can exploit via (1) a crafted CREATE HADOOP TABLE statement referencing another user’s data or (2) importing a Hive table definition with...
CVE-2015-1889
The Big SQL component in IBM InfoSphere BigInsights 3.0 through 3.0.0.2 allows remote authenticated users to bypass intended HDFS data-access restrictions via 1 a crafted CREATE HADOOP TABLE statement referencing the data of an arbitrary user or 2 an import of a certain Hive table definition with...
