| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| NodeBB Forum Software is powered by Node.js and supports either Redis, MongoDB, or a PostgreSQL database. It utilizes web sockets for instant interactions and real-time notifications. `utils.generateUUID`, a helper function available in essentially all versions of NodeBB (as far back as v1.0.1 and potentially earlier) used a cryptographically insecure Pseudo-random number generator (`Math.random()`), which meant that a specially crafted script combined with multiple invocations of the password reset functionality could enable an attacker to correctly calculate the reset code for an account they do not have access to. This vulnerability impacts all installations of NodeBB. The vulnerability allows for an attacker to take over any account without the involvement of the victim, and as such, the remediation should be applied immediately (either via NodeBB upgrade or cherry-pick of the specific changeset. The vulnerability has been patched in version 2.x and 1.19.x. There is no known workaround, but the patch sets listed above will fully patch the vulnerability. |
| RabbitMQ is a multi-protocol messaging and streaming broker. In affected versions the shovel and federation plugins perform URI obfuscation in their worker (link) state. The encryption key used to encrypt the URI was seeded with a predictable secret. This means that in case of certain exceptions related to Shovel and Federation plugins, reasonably easily deobfuscatable data could appear in the node log. Patched versions correctly use a cluster-wide secret for that purpose. This issue has been addressed and Patched versions: `3.10.2`, `3.9.18`, `3.8.32` are available. Users unable to upgrade should disable the Shovel and Federation plugins. |
| Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use some older NLP examples that reference an old S3 bucket. The problem has been patched. Users should upgrade to snapshots as Deeplearning4J plan to publish a release with the fix at a later date. As a workaround, download a word2vec google news vector from a new source using git lfs from here. |
| Weak reset token generation in SeedDMS v6.0.20 and v5.1.7 allows attackers to execute a full account takeover via a brute force attack. |
| A vulnerability has been identified in SCALANCE X204RNA (HSR) (All versions < V3.2.7), SCALANCE X204RNA (PRP) (All versions < V3.2.7), SCALANCE X204RNA EEC (HSR) (All versions < V3.2.7), SCALANCE X204RNA EEC (PRP) (All versions < V3.2.7), SCALANCE X204RNA EEC (PRP/HSR) (All versions < V3.2.7). The webserver of affected devices calculates session ids and nonces in an insecure manner. This could allow an unauthenticated remote attacker to brute-force session ids and hijack existing sessions. |
| A vulnerability has been identified in SCALANCE X200-4P IRT (All versions < V5.5.2), SCALANCE X201-3P IRT (All versions < V5.5.2), SCALANCE X201-3P IRT PRO (All versions < V5.5.2), SCALANCE X202-2IRT (All versions < V5.5.2), SCALANCE X202-2IRT (All versions < V5.5.2), SCALANCE X202-2P IRT (All versions < V5.5.2), SCALANCE X202-2P IRT PRO (All versions < V5.5.2), SCALANCE X204-2 (All versions < V5.2.6), SCALANCE X204-2FM (All versions < V5.2.6), SCALANCE X204-2LD (All versions < V5.2.6), SCALANCE X204-2LD TS (All versions < V5.2.6), SCALANCE X204-2TS (All versions < V5.2.6), SCALANCE X204IRT (All versions < V5.5.2), SCALANCE X204IRT (All versions < V5.5.2), SCALANCE X204IRT PRO (All versions < V5.5.2), SCALANCE X206-1 (All versions < V5.2.6), SCALANCE X206-1LD (All versions < V5.2.6), SCALANCE X208 (All versions < V5.2.6), SCALANCE X208PRO (All versions < V5.2.6), SCALANCE X212-2 (All versions < V5.2.6), SCALANCE X212-2LD (All versions < V5.2.6), SCALANCE X216 (All versions < V5.2.6), SCALANCE X224 (All versions < V5.2.6), SCALANCE XF201-3P IRT (All versions < V5.5.2), SCALANCE XF202-2P IRT (All versions < V5.5.2), SCALANCE XF204 (All versions < V5.2.6), SCALANCE XF204-2 (All versions < V5.2.6), SCALANCE XF204-2BA IRT (All versions < V5.5.2), SCALANCE XF204IRT (All versions < V5.5.2), SCALANCE XF206-1 (All versions < V5.2.6), SCALANCE XF208 (All versions < V5.2.6). The webserver of affected devices calculates session ids and nonces in an insecure manner. This could allow an unauthenticated remote attacker to brute-force session ids and hijack existing sessions. |
| A vulnerability in Cisco Jabber for Windows could allow an unauthenticated, local attacker to access sensitive communications made by the Jabber client. An attacker could exploit this vulnerability to gain information to conduct additional attacks. The vulnerability is due to the way Cisco Jabber for Windows handles random number generation for file folders. An attacker could exploit the vulnerability by fixing the random number data used to establish Secure Sockets Layer (SSL) connections between clients. An exploit could allow the attacker to decrypt secure communications made by the Cisco Jabber for Windows client. Cisco Bug IDs: CSCve44806. |
| Wi-Fi Protected Access (WPA and WPA2) that support 802.11v allows reinstallation of the Group Temporal Key (GTK) when processing a Wireless Network Management (WNM) Sleep Mode Response frame, allowing an attacker within radio range to replay frames from access points to clients. |
| Wi-Fi Protected Access (WPA and WPA2) allows reinstallation of the Group Temporal Key (GTK) during the group key handshake, allowing an attacker within radio range to replay frames from access points to clients. |
| Wi-Fi Protected Access (WPA and WPA2) that supports IEEE 802.11r allows reinstallation of the Pairwise Transient Key (PTK) Temporal Key (TK) during the fast BSS transmission (FT) handshake, allowing an attacker within radio range to replay, decrypt, or spoof frames. |
| Wi-Fi Protected Access (WPA and WPA2) allows reinstallation of the Station-To-Station-Link (STSL) Transient Key (STK) during the PeerKey handshake, allowing an attacker within radio range to replay, decrypt, or spoof frames. |
| An issue was discovered on the D-Link DWR-932B router. WPS PIN generation is based on srand(time(0)) seeding. |
| Wi-Fi Protected Access (WPA and WPA2) that support 802.11v allows reinstallation of the Integrity Group Temporal Key (IGTK) when processing a Wireless Network Management (WNM) Sleep Mode Response frame, allowing an attacker within radio range to replay frames from access points to clients. |
| Wi-Fi Protected Access (WPA and WPA2) allows reinstallation of the Tunneled Direct-Link Setup (TDLS) Peer Key (TPK) during the TDLS handshake, allowing an attacker within radio range to replay, decrypt, or spoof frames. |
| Wi-Fi Protected Access (WPA and WPA2) that supports IEEE 802.11w allows reinstallation of the Integrity Group Temporal Key (IGTK) during the group key handshake, allowing an attacker within radio range to spoof frames from access points to clients. |
| A door-unlocking issue was discovered on Software House iStar Ultra devices through 6.5.2.20569 when used in conjunction with the IP-ACM Ethernet Door Module. The communications between the IP-ACM and the iStar Ultra is encrypted using a fixed AES key and IV. Each message is encrypted in CBC mode and restarts with the fixed IV, leading to replay attacks of entire messages. There is no authentication of messages beyond the use of the fixed AES key, so message forgery is also possible. |
| PWR-Q200 does not use random values for source ports of DNS query packets, which allows remote attackers to conduct DNS cache poisoning attacks. |
| ExpressionEngine version 2.x < 2.11.8 and version 3.x < 3.5.5 create an object signing token with weak entropy. Successfully guessing the token can lead to remote code execution. |
| Python package pysaml2 version 4.4.0 and earlier reuses the initialization vector across encryptions in the IDP server, resulting in weak encryption of data. |
| Froxlor before 0.9.35 uses the PHP rand function for random number generation, which makes it easier for remote attackers to guess the password reset token by predicting a value. |
