[월:] 2020년 01월

CVE-2019-20217

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CVE-2019-20217

D-Link DIR-859 1.05 and 1.06B01 Beta01 devices allow remote attackers to execute arbitrary OS commands via the urn: to the M-SEARCH method in ssdpcgi() in /htdocs/cgibin, because SERVER_ID is mishandled. The value of the urn: service/device is checked with the strstr function, which allows an attacker to concatenate arbitrary commands separated by shell metacharacters.

Source: CVE-2019-20217

CVE-2020-8428

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CVE-2020-8428

fs/namei.c in the Linux kernel before 5.5 has a may_create_in_sticky use-after-free, which allows local users to cause a denial of service (OOPS) or possibly obtain sensitive information from kernel memory, aka CID-d0cb50185ae9. One attack vector may be an open system call for a UNIX domain socket, if the socket is being moved to a new parent directory and its old parent directory is being removed.

Source: CVE-2020-8428

CVE-2020-5227

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CVE-2020-5227

Feedgen (python feedgen) before 0.9.0 is susceptible to XML Denial of Service attacks. The *feedgen* library allows supplying XML as content for some of the available fields. This XML will be parsed and integrated into the existing XML tree. During this process, feedgen is vulnerable to XML Denial of Service Attacks (e.g. XML Bomb). This becomes a concern in particular if feedgen is used to include content from untrused sources and if XML (including XHTML) is directly included instead of providing plain tex content only. This problem has been fixed in feedgen 0.9.0 which disallows XML entity expansion and external resources.

Source: CVE-2020-5227

CVE-2020-5215

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CVE-2020-5215

In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.

Source: CVE-2020-5215

CVE-2013-1603

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CVE-2013-1603

An Authentication vulnerability exists in D-LINK WCS-1100 1.02, TESCO DCS-2121 1.05_TESCO, TESCO DCS-2102 1.05_TESCO, DCS-7510 1.00, DCS-7410 1.00, DCS-6410 1.00, DCS-5635 1.01, DCS-5605 1.01, DCS-5230L 1.02, DCS-5230 1.02, DCS-3430 1.02, DCS-3411 1.02, DCS-3410 1.02, DCS-2121 1.06_FR, DCS-2121 1.06, DCS-2121 1.05_RU, DCS-2102 1.06_FR, DCS-2102 1.06, DCS-2102 1.05_RU, DCS-1130L 1.04, DCS-1130 1.04_US, DCS-1130 1.03, DCS-1100L 1.04, DCS-1100 1.04_US, and DCS-1100 1.03 due to hard-coded credentials that serve as a backdoor, which allows remote attackers to access the RTSP video stream.

Source: CVE-2013-1603

CVE-2013-1602

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CVE-2013-1602

An Information Disclosure vulnerability exists due to insufficient validation of authentication cookies for the RTSP session in D-Link DCS-5635 1.01, DCS-1100L 1.04, DCS-1130L 1.04, DCS-1100 1.03/1.04_US, DCS-1130 1.03/1.04_US , DCS-2102 1.05_RU/1.06/1.06_FR/1.05_TESCO, DCS-2121 1.05_RU/1.06/1.06_FR/1.05_TESCO, DCS-3410 1.02, DCS-5230 1.02, DCS-5230L 1.02, DCS-6410 1.0, DCS-7410 1.0, DCS-7510 1.0, and WCS-1100 1.02, which could let a malicious user obtain unauthorized access to video streams.

Source: CVE-2013-1602