| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| The Socket Appender in Apache Log4j Core versions 2.0-beta9 through 2.25.2 does not perform TLS hostname verification of the peer certificate, even when the verifyHostName https://logging.apache.org/log4j/2.x/manual/appenders/network.html#SslConfiguration-attr-verifyHostName configuration attribute or the log4j2.sslVerifyHostName https://logging.apache.org/log4j/2.x/manual/systemproperties.html#log4j2.sslVerifyHostName system property is set to true.
This issue may allow a man-in-the-middle attacker to intercept or redirect log traffic under the following conditions:
* The attacker is able to intercept or redirect network traffic between the client and the log receiver.
* The attacker can present a server certificate issued by a certification authority trusted by the Socket Appender’s configured trust store (or by the default Java trust store if no custom trust store is configured).
Users are advised to upgrade to Apache Log4j Core version 2.25.3, which addresses this issue.
As an alternative mitigation, the Socket Appender may be configured to use a private or restricted trust root to limit the set of trusted certificates. |
| PraisonAI is a multi-agent teams system. In versions 4.5.139 and below, the GitHub Actions workflows are vulnerable to ArtiPACKED attack, a known credential leakage vector caused by using actions/checkout without setting persist-credentials: false. By default, actions/checkout writes the GITHUB_TOKEN (and sometimes ACTIONS_RUNTIME_TOKEN) into the .git/config file for persistence, and if any subsequent workflow step uploads artifacts (build outputs, logs, test results, etc.), these tokens can be inadvertently included. Since PraisonAI is a public repository, any user with read access can download these artifacts and extract the leaked tokens, potentially enabling an attacker to push malicious code, poison releases and PyPI/Docker packages, steal repository secrets, and execute a full supply chain compromise affecting all downstream users. The issue spans numerous workflow and action files across .github/workflows/ and .github/actions/. This issue has been fixed in version 4.5.140. |
| PraisonAI is a multi-agent teams system. Prior to 4.5.133, there is an SQL identifier injection vulnerability in SQLiteConversationStore where the table_prefix configuration value is directly concatenated into SQL queries via f-strings without any validation or sanitization. Since SQL identifiers cannot be safely parameterized, an attacker who controls the table_prefix value (e.g., through from_yaml or from_dict configuration input) can inject arbitrary SQL fragments that alter query structure. This enables unauthorized data access, such as reading internal SQLite tables like sqlite_master, and manipulation of query results through techniques like UNION-based injection. The vulnerability propagates from configuration input in config.py, through factory.py, to the SQL query construction in sqlite.py. Exploitation requires the ability to influence configuration input, and successful exploitation leads to internal schema disclosure and full query result tampering. This issue has been fixed in version 4.5.133. |
| MaxKB is an open-source AI assistant for enterprise. Versions 2.7.1 and below contain an incomplete fix for CVE-2025-53928, where a Remote Code Execution vulnerability still exists in the MCP node of the workflow engine. MaxKB only restricts the referencing code path (loading MCP config from the database). The else branch, responsible for loading mcp_servers directly from user-supplied JSON remains completely unpatched. Since mcp_source is an optional field (required=False), an attacker can simply omit it or set it to any non-referencing value to bypass the fix. By calling the workflow creation API directly with a crafted JSON payload, an attacker can inject a complete MCP node configuration with stdio transport, arbitrary command, and args — achieving RCE when the workflow is triggered via chat. This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. In versions 2.7.1 and below, sandbox network protection can be bypassed by using socket.sendto() with the MSG_FASTOPEN flag. This allows authenticated user with tool-editing permissions to reach internal services that are explicitly blocked by the sandbox's banned hosts configuration. MaxKB's sandbox uses LD_PRELOAD to hook the connect() function and block connections to banned IPs, but Linux's sendto() with the MSG_FASTOPEN flag can establish TCP connections directly through the kernel without ever calling connect(), completely bypassing the IP validation. Although sendto is listed in the syscall() wrapper, this is ineffective because glibc invokes the kernel syscall directly rather than routing through the hooked syscall() function. This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. In versions 2.7.1 and below, an incomplete sandbox protection mechanism allows an authenticated user with tool execution privileges to escape the LD_PRELOAD-based sandbox. By env command the attacker can clear the environment variables and drop the sandbox.so hook, leading to unrestricted Remote Code Execution (RCE) and network access. MaxKB restricts untrusted Python code execution via the Tool Debug API by injecting sandbox.so through the LD_PRELOAD environment variable. This intercepts sensitive C library functions (like execve, socket, open) to restrict network and file access. However, a patch allowed the /usr/bin/env utility to be executed by the sandboxed user. When an attacker is permitted to create subprocesses, they can execute the env -i python command. The -i flag instructs env to completely clear all environment variables before running the target program. This effectively drops the LD_PRELOAD environment variable. The newly spawned Python process will therefore execute natively without any sandbox hooks, bypassing all network and file system restrictions. This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. Versions 2.7.1 and below contain a sandbox escape vulnerability in the ToolExecutor component. By leveraging Python's ctypes library to execute raw system calls, an authenticated attacker with workspace privileges can bypass the LD_PRELOAD-based sandbox.so module to achieve arbitrary code execution via direct kernel system calls, enabling full network exfiltration and container compromise. The library intercepts critical standard system functions such as execve, system, connect, and open. It also intercepts mprotect to prevent PROT_EXEC (executable memory) allocations within the sandboxed Python processes, but pkey_mprotect is not blocked. This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. Versions 2.7.1 and below contain a Stored Cross-Site Scripting (XSS) vulnerability through the application name or icon fields when creating an application. When a victim visits the public chat interface (/ui/chat/{access_token}), the ChatHeadersMiddleware retrieves the application data and directly inserts the unescaped application name and icon into the HTML response via string replacement. This allows an attacker to execute arbitrary JavaScript in the victim's browser context. This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. Versions 2.7.1 and below contain an Eval Injection vulnerability in the Markdown rendering engine that allows any user capable of interacting with the AI chat interface to execute arbitrary JavaScript in the browsers of other users, including administrators, resulting in Stored Cross-Site Scripting (XSS). This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. In versions 2.7.1 and below, the chat export feature is vulnerable to Improper Neutralization of Formula Elements in a CSV File. When an administrator exports the application chat history to an Excel file (.xlsx) via the /admin/api/workspace/{workspace_id}/application/{application_id}/chat/export endpoint, strings starting with formula characters are written directly without proper sanitization. Opening this file in spreadsheet applications like Microsoft Excel can lead to Arbitrary Code Execution (RCE) on the administrator's workstation via Dynamic Data Exchange (DDE). The issue is a variant of CVE-2025-4546, which fixed the exact same pattern in apps/dataset/serializers/document_serializers.py but missed the application chat export sink. This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. In versions 2.7.1 and below, an authenticated user can bypass sandbox result validation and spoof tool execution results by exploiting Python frame introspection to read the wrapper's UUID from its bytecode constants, then writing a forged result directly to file descriptor 1 (bypassing stdout redirection). By calling sys.exit(0), the attacker terminates the wrapper before it prints the legitimate output, causing the MaxKB service to parse and trust the spoofed response as the genuine tool result. This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. Versions 2.7.1 and below contain a Stored Cross-Site Scripting (XSS) vulnerability that allows authenticated users to inject arbitrary HTML and JavaScript into the Application prologue (Opening Remarks) field by wrapping malicious payloads in <html_rander> tags. The backend fails to sanitize or encode HTML entities in the prologue field when applications are created or updated via the /admin/api/workspace/{workspace_id}/application endpoint, storing the raw payload directly in the database. The frontend then renders this content using an innerHTML-equivalent mechanism, trusting <html_rander>-wrapped content to be safe, which enables persistent DOM-based Stored XSS execution against any visitor who opens the affected chatbot interface. Exploitation can lead to session hijacking, unauthorized actions performed on behalf of victims (such as deleting workspaces or applications), and sensitive data exposure. This issue has been fixed in version 2.8.0. |
| MaxKB is an open-source AI assistant for enterprise. Versions 2.7.1 and below contain a Stored Cross-Site Scripting (XSS) vulnerability where the frontend's MdRenderer.vue component parses custom <iframe_render> tags from LLM responses or Application Prologue configurations, bypassing standard Markdown sanitization and XSS filtering. The unsanitized HTML content is passed to the IframeRender.vue component, which renders it directly into an <iframe> via the srcdoc attribute configured with sandbox="allow-scripts allow-same-origin". This can be a dangerous combination, allowing injected scripts to escape the iframe and execute JavaScript in the parent window using window.parent. Since the Prologue is rendered for any user visiting an application's chat interface, this results in a high-impact Stored XSS that can lead to session hijacking, unauthorized actions, and sensitive data exposure. This issue has been fixed in version 2.8.0. |
| When an email contains multiple attachments with external links via the X-Mozilla-External-Attachment-URL header, only the last link is shown when hovering over any attachment. Although the correct link is used on click, the misleading hover text could trick users into downloading content from untrusted sources. This vulnerability was fixed in Thunderbird 137.0.2 and Thunderbird 128.9.2. |
| A process isolation vulnerability in Thunderbird stemmed from improper handling of javascript: URIs, which could allow content to execute in the top-level document's process instead of the intended frame, potentially enabling a sandbox escape. This vulnerability was fixed in Firefox 138, Firefox ESR 128.10, Firefox ESR 115.23, Thunderbird 138, and Thunderbird 128.10. |
| In the Linux kernel, the following vulnerability has been resolved:
ksmbd: Fix refcount leak when invalid session is found on session lookup
When a session is found but its state is not SMB2_SESSION_VALID, It
indicates that no valid session was found, but it is missing to decrement
the reference count acquired by the session lookup, which results in
a reference count leak. This patch fixes the issue by explicitly calling
ksmbd_user_session_put to release the reference to the session. |
| The SEO Links Interlinking plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via the 'google_error' parameter in all versions up to, and including, 1.7.9.9.1 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that execute if they can successfully trick a user into performing an action such as clicking on a link. |
| In the Linux kernel, the following vulnerability has been resolved:
wifi: rtw88: Fix alignment fault in rtw_core_enable_beacon()
rtw_core_enable_beacon() reads 4 bytes from an address that is not a
multiple of 4. This results in a crash on some systems.
Do 1 byte reads/writes instead.
Unable to handle kernel paging request at virtual address ffff8000827e0522
Mem abort info:
ESR = 0x0000000096000021
EC = 0x25: DABT (current EL), IL = 32 bits
SET = 0, FnV = 0
EA = 0, S1PTW = 0
FSC = 0x21: alignment fault
Data abort info:
ISV = 0, ISS = 0x00000021, ISS2 = 0x00000000
CM = 0, WnR = 0, TnD = 0, TagAccess = 0
GCS = 0, Overlay = 0, DirtyBit = 0, Xs = 0
swapper pgtable: 4k pages, 48-bit VAs, pgdp=0000000005492000
[ffff8000827e0522] pgd=0000000000000000, p4d=10000001021d9403, pud=10000001021da403, pmd=100000011061c403, pte=00780000f3200f13
Internal error: Oops: 0000000096000021 [#1] SMP
Modules linked in: [...] rtw88_8822ce rtw88_8822c rtw88_pci rtw88_core [...]
CPU: 0 UID: 0 PID: 73 Comm: kworker/u32:2 Tainted: G W 6.17.9 #1-NixOS VOLUNTARY
Tainted: [W]=WARN
Hardware name: FriendlyElec NanoPC-T6 LTS (DT)
Workqueue: phy0 rtw_c2h_work [rtw88_core]
pstate: 60400009 (nZCv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--)
pc : rtw_pci_read32+0x18/0x40 [rtw88_pci]
lr : rtw_core_enable_beacon+0xe0/0x148 [rtw88_core]
sp : ffff800080cc3ca0
x29: ffff800080cc3ca0 x28: ffff0001031fc240 x27: ffff000102100828
x26: ffffd2cb7c9b4088 x25: ffff0001031fc2c0 x24: ffff000112fdef00
x23: ffff000112fdef18 x22: ffff000111c29970 x21: 0000000000000001
x20: 0000000000000001 x19: ffff000111c22040 x18: 0000000000000000
x17: 0000000000000000 x16: 0000000000000000 x15: 0000000000000000
x14: 0000000000000000 x13: 0000000000000000 x12: 0000000000000000
x11: 0000000000000000 x10: 0000000000000000 x9 : ffffd2cb6507c090
x8 : 0000000000000000 x7 : 0000000000000000 x6 : 0000000000000000
x5 : 0000000000000000 x4 : 0000000000000000 x3 : 0000000000000000
x2 : 0000000000007f10 x1 : 0000000000000522 x0 : ffff8000827e0522
Call trace:
rtw_pci_read32+0x18/0x40 [rtw88_pci] (P)
rtw_hw_scan_chan_switch+0x124/0x1a8 [rtw88_core]
rtw_fw_c2h_cmd_handle+0x254/0x290 [rtw88_core]
rtw_c2h_work+0x50/0x98 [rtw88_core]
process_one_work+0x178/0x3f8
worker_thread+0x208/0x418
kthread+0x120/0x220
ret_from_fork+0x10/0x20
Code: d28fe202 8b020000 f9524400 8b214000 (b9400000)
---[ end trace 0000000000000000 ]--- |
| In the Linux kernel, the following vulnerability has been resolved:
crypto: iaa - Fix out-of-bounds index in find_empty_iaa_compression_mode
The local variable 'i' is initialized with -EINVAL, but the for loop
immediately overwrites it and -EINVAL is never returned.
If no empty compression mode can be found, the function would return the
out-of-bounds index IAA_COMP_MODES_MAX, which would cause an invalid
array access in add_iaa_compression_mode().
Fix both issues by returning either a valid index or -EINVAL. |
| In the Linux kernel, the following vulnerability has been resolved:
scsi: qla2xxx: Free sp in error path to fix system crash
System crash seen during load/unload test in a loop,
[61110.449331] qla2xxx [0000:27:00.0]-0042:0: Disabled MSI-X.
[61110.467494] =============================================================================
[61110.467498] BUG qla2xxx_srbs (Tainted: G OE -------- --- ): Objects remaining in qla2xxx_srbs on __kmem_cache_shutdown()
[61110.467501] -----------------------------------------------------------------------------
[61110.467502] Slab 0x000000000ffc8162 objects=51 used=1 fp=0x00000000e25d3d85 flags=0x57ffffc0010200(slab|head|node=1|zone=2|lastcpupid=0x1fffff)
[61110.467509] CPU: 53 PID: 455206 Comm: rmmod Kdump: loaded Tainted: G OE -------- --- 5.14.0-284.11.1.el9_2.x86_64 #1
[61110.467513] Hardware name: HPE ProLiant DL385 Gen10 Plus v2/ProLiant DL385 Gen10 Plus v2, BIOS A42 08/17/2023
[61110.467515] Call Trace:
[61110.467516] <TASK>
[61110.467519] dump_stack_lvl+0x34/0x48
[61110.467526] slab_err.cold+0x53/0x67
[61110.467534] __kmem_cache_shutdown+0x16e/0x320
[61110.467540] kmem_cache_destroy+0x51/0x160
[61110.467544] qla2x00_module_exit+0x93/0x99 [qla2xxx]
[61110.467607] ? __do_sys_delete_module.constprop.0+0x178/0x280
[61110.467613] ? syscall_trace_enter.constprop.0+0x145/0x1d0
[61110.467616] ? do_syscall_64+0x5c/0x90
[61110.467619] ? exc_page_fault+0x62/0x150
[61110.467622] ? entry_SYSCALL_64_after_hwframe+0x63/0xcd
[61110.467626] </TASK>
[61110.467627] Disabling lock debugging due to kernel taint
[61110.467635] Object 0x0000000026f7e6e6 @offset=16000
[61110.467639] ------------[ cut here ]------------
[61110.467639] kmem_cache_destroy qla2xxx_srbs: Slab cache still has objects when called from qla2x00_module_exit+0x93/0x99 [qla2xxx]
[61110.467659] WARNING: CPU: 53 PID: 455206 at mm/slab_common.c:520 kmem_cache_destroy+0x14d/0x160
[61110.467718] CPU: 53 PID: 455206 Comm: rmmod Kdump: loaded Tainted: G B OE -------- --- 5.14.0-284.11.1.el9_2.x86_64 #1
[61110.467720] Hardware name: HPE ProLiant DL385 Gen10 Plus v2/ProLiant DL385 Gen10 Plus v2, BIOS A42 08/17/2023
[61110.467721] RIP: 0010:kmem_cache_destroy+0x14d/0x160
[61110.467724] Code: 99 7d 07 00 48 89 ef e8 e1 6a 07 00 eb b3 48 8b 55 60 48 8b 4c 24 20 48 c7 c6 70 fc 66 90 48 c7 c7 f8 ef a1 90 e8 e1 ed 7c 00 <0f> 0b eb 93 c3 cc cc cc cc 66 2e 0f 1f 84 00 00 00 00 00 55 48 89
[61110.467725] RSP: 0018:ffffa304e489fe80 EFLAGS: 00010282
[61110.467727] RAX: 0000000000000000 RBX: ffffffffc0d9a860 RCX: 0000000000000027
[61110.467729] RDX: ffff8fd5ff9598a8 RSI: 0000000000000001 RDI: ffff8fd5ff9598a0
[61110.467730] RBP: ffff8fb6aaf78700 R08: 0000000000000000 R09: 0000000100d863b7
[61110.467731] R10: ffffa304e489fd20 R11: ffffffff913bef48 R12: 0000000040002000
[61110.467731] R13: 0000000000000000 R14: 0000000000000000 R15: 0000000000000000
[61110.467733] FS: 00007f64c89fb740(0000) GS:ffff8fd5ff940000(0000) knlGS:0000000000000000
[61110.467734] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033
[61110.467735] CR2: 00007f0f02bfe000 CR3: 00000020ad6dc005 CR4: 0000000000770ee0
[61110.467736] PKRU: 55555554
[61110.467737] Call Trace:
[61110.467738] <TASK>
[61110.467739] qla2x00_module_exit+0x93/0x99 [qla2xxx]
[61110.467755] ? __do_sys_delete_module.constprop.0+0x178/0x280
Free sp in the error path to fix the crash. |
