CVE-2026-102831
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- Required
What an attacker can affect
- Confidentiality
- High
- Integrity
- High
- Availability
- None
Exploit likelihood
What each source reports
CVE List Score used
8.1
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4.
- Record
CVE-2026-102831- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Weakness
- CWE-79, CWE-345
- Updated
- 2026-11-02
EUVDEUVD-2026-89338
8.1
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4.
- Record
EUVD-2026-89338- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-6966-vjj6-99xv
8.1
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
Description
JupyterLab 4.5.0 enabled copying and pasing cells through the system clipboard. The paste path parses clipboard text as cell JSON and inserts the cells without clearing metadata.trusted, so a payload can declare its own output as trusted. JupyterLab does not sanitize a trusted output and evaluates the <script> elements it contains, so pasting the cell runs attacker's JavaScript in the JupyterLab origin. The same payload with "trusted": false is sanitized.
[
{
"cell_type": "code",
"execution_count": null,
"source": "",
"metadata": { "trusted": true },
"outputs": [
{
"output_type": "display_data",
"metadata": {},
"data": { "text/html": "<script>/* runs on paste */</script>" }
}
]
}
]
Users are affected if all of the following are true:
- they run JupyterLab 4.5.0 through 4.6.3, or an application that bundles it such as Notebook 7.5+;
- if running 4.5.2 or newer,
useSystemClipboardForCellsis enabled - it is off by default in 4.5.2+, and always enabled on 4.5.0 and 4.5.1 with no opt-out - they run a Paste Cells command (e.g. from context menu, command palette, shortcut) while attacker-controlled text is in the clipboard; and
pasteCodeCellsWithoutOutputis off, the default, so the pasted cell keeps its outputs
Impact
The script runs in the JupyterLab page, in the same origin and session as the authenticated user, so it can call the Jupyter Server REST API as that user: read and write any file under the server root, start a kernel and run code in it, and open a terminal where terminals are enabled. It runs on paste, without the user executing anything.
Only the output of a code cell can run a script this way. Markdown and raw cells are always sanitized, as the trust documentation states.
The attacker needs no JupyterLab account and no access to the server, only the user's clipboard at the moment of the paste. A web page can replace the text you copy from it, or write the clipboard directly once you have given it permission. Both need you to click or press a key on that page first.
Patches
JupyterLab v4.6.4 and v4.5.11 contain the patch. Cells read from the system clipboard that cannot be traced to the current window no longer carry metadata.trusted into the notebook, so their outputs are sanitized like any other content of unknown origin.
Users of applications that depend on JupyterLab, such as Notebook v7+, should update jupyterlab package too.
Workarounds
On 4.5.2 and later, confirm that the system clipboard is not in use for cells. The setting is off by default; check Settings, Notebook, or the raw value:
{
"@jupyterlab/notebook-extension:tracker": {
"useSystemClipboardForCells": false
}
}
With that setting off, cell copy and paste use JupyterLab's in-application clipboard, which never leaves the page. The cost is that cells can no longer be copied between browser tabs or windows.
On 4.5.0 and 4.5.1 there is no such setting, and every paste reads the system clipboard and upgrade is highly recommended.
Pasting cells without their outputs also stops the script from running, at the cost of discarding outputs on every paste:
{
"@jupyterlab/notebook-extension:tracker": {
"pasteCodeCellsWithoutOutput": true
}
}
- Record
GHSA-6966-vjj6-99xv- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Weakness
- CWE-79, CWE-345
- Updated
- 2026-11-02
NVD
8.1
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4.
- Record
CVE-2026-102831- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Weakness
- CWE-79, CWE-345
- Updated
- 2026-11-02
OSV
8.1
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4.
- Record
CVE-2026-102831- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Weakness
- CWE-345, CWE-79
- Updated
- 2026-11-06
OSVDEBIAN-CVE-2026-102831
8.1
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4.
- Record
DEBIAN-CVE-2026-102831- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Updated
- 2026-11-02
Show 7 moreShow less
OSVGHSA-6966-vjj6-99xv
8.1
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
Description
JupyterLab 4.5.0 enabled copying and pasing cells through the system clipboard. The paste path parses clipboard text as cell JSON and inserts the cells without clearing metadata.trusted, so a payload can declare its own output as trusted. JupyterLab does not sanitize a trusted output and evaluates the <script> elements it contains, so pasting the cell runs attacker's JavaScript in the JupyterLab origin. The same payload with "trusted": false is sanitized.
[
{
"cell_type": "code",
"execution_count": null,
"source": "",
"metadata": { "trusted": true },
"outputs": [
{
"output_type": "display_data",
"metadata": {},
"data": { "text/html": "<script>/* runs on paste */</script>" }
}
]
}
]
Users are affected if all of the following are true:
- they run JupyterLab 4.5.0 through 4.6.3, or an application that bundles it such as Notebook 7.5+;
- if running 4.5.2 or newer,
useSystemClipboardForCellsis enabled - it is off by default in 4.5.2+, and always enabled on 4.5.0 and 4.5.1 with no opt-out - they run a Paste Cells command (e.g. from context menu, command palette, shortcut) while attacker-controlled text is in the clipboard; and
pasteCodeCellsWithoutOutputis off, the default, so the pasted cell keeps its outputs
Impact
The script runs in the JupyterLab page, in the same origin and session as the authenticated user, so it can call the Jupyter Server REST API as that user: read and write any file under the server root, start a kernel and run code in it, and open a terminal where terminals are enabled. It runs on paste, without the user executing anything.
Only the output of a code cell can run a script this way. Markdown and raw cells are always sanitized, as the trust documentation states.
The attacker needs no JupyterLab account and no access to the server, only the user's clipboard at the moment of the paste. A web page can replace the text you copy from it, or write the clipboard directly once you have given it permission. Both need you to click or press a key on that page first.
Patches
JupyterLab v4.6.4 and v4.5.11 contain the patch. Cells read from the system clipboard that cannot be traced to the current window no longer carry metadata.trusted into the notebook, so their outputs are sanitized like any other content of unknown origin.
Users of applications that depend on JupyterLab, such as Notebook v7+, should update jupyterlab package too.
Workarounds
On 4.5.2 and later, confirm that the system clipboard is not in use for cells. The setting is off by default; check Settings, Notebook, or the raw value:
{
"@jupyterlab/notebook-extension:tracker": {
"useSystemClipboardForCells": false
}
}
With that setting off, cell copy and paste use JupyterLab's in-application clipboard, which never leaves the page. The cost is that cells can no longer be copied between browser tabs or windows.
On 4.5.0 and 4.5.1 there is no such setting, and every paste reads the system clipboard and upgrade is highly recommended.
Pasting cells without their outputs also stops the script from running, at the cost of discarding outputs on every paste:
{
"@jupyterlab/notebook-extension:tracker": {
"pasteCodeCellsWithoutOutput": true
}
}
- Record
GHSA-6966-vjj6-99xv- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Weakness
- CWE-345, CWE-79
- Updated
- 2026-11-02
OSVPYSEC-2026-4057
8.1
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
Description
JupyterLab 4.5.0 enabled copying and pasing cells through the system clipboard. The paste path parses clipboard text as cell JSON and inserts the cells without clearing metadata.trusted, so a payload can declare its own output as trusted. JupyterLab does not sanitize a trusted output and evaluates the <script> elements it contains, so pasting the cell runs attacker's JavaScript in the JupyterLab origin. The same payload with "trusted": false is sanitized.
[
{
"cell_type": "code",
"execution_count": null,
"source": "",
"metadata": { "trusted": true },
"outputs": [
{
"output_type": "display_data",
"metadata": {},
"data": { "text/html": "<script>/* runs on paste */</script>" }
}
]
}
]
Users are affected if all of the following are true:
- they run JupyterLab 4.5.0 through 4.6.3, or an application that bundles it such as Notebook 7.5+;
- if running 4.5.2 or newer,
useSystemClipboardForCellsis enabled - it is off by default in 4.5.2+, and always enabled on 4.5.0 and 4.5.1 with no opt-out - they run a Paste Cells command (e.g. from context menu, command palette, shortcut) while attacker-controlled text is in the clipboard; and
pasteCodeCellsWithoutOutputis off, the default, so the pasted cell keeps its outputs
Impact
The script runs in the JupyterLab page, in the same origin and session as the authenticated user, so it can call the Jupyter Server REST API as that user: read and write any file under the server root, start a kernel and run code in it, and open a terminal where terminals are enabled. It runs on paste, without the user executing anything.
Only the output of a code cell can run a script this way. Markdown and raw cells are always sanitized, as the trust documentation states.
The attacker needs no JupyterLab account and no access to the server, only the user's clipboard at the moment of the paste. A web page can replace the text you copy from it, or write the clipboard directly once you have given it permission. Both need you to click or press a key on that page first.
Patches
JupyterLab v4.6.4 and v4.5.11 contain the patch. Cells read from the system clipboard that cannot be traced to the current window no longer carry metadata.trusted into the notebook, so their outputs are sanitized like any other content of unknown origin.
Users of applications that depend on JupyterLab, such as Notebook v7+, should update jupyterlab package too.
Workarounds
On 4.5.2 and later, confirm that the system clipboard is not in use for cells. The setting is off by default; check Settings, Notebook, or the raw value:
{
"@jupyterlab/notebook-extension:tracker": {
"useSystemClipboardForCells": false
}
}
With that setting off, cell copy and paste use JupyterLab's in-application clipboard, which never leaves the page. The cost is that cells can no longer be copied between browser tabs or windows.
On 4.5.0 and 4.5.1 there is no such setting, and every paste reads the system clipboard and upgrade is highly recommended.
Pasting cells without their outputs also stops the script from running, at the cost of discarding outputs on every paste:
{
"@jupyterlab/notebook-extension:tracker": {
"pasteCodeCellsWithoutOutput": true
}
}
- Record
PYSEC-2026-4057- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Updated
- 2026-11-02
OSVPYSEC-2026-4058
8.1
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
Description
JupyterLab 4.5.0 enabled copying and pasing cells through the system clipboard. The paste path parses clipboard text as cell JSON and inserts the cells without clearing metadata.trusted, so a payload can declare its own output as trusted. JupyterLab does not sanitize a trusted output and evaluates the <script> elements it contains, so pasting the cell runs attacker's JavaScript in the JupyterLab origin. The same payload with "trusted": false is sanitized.
[
{
"cell_type": "code",
"execution_count": null,
"source": "",
"metadata": { "trusted": true },
"outputs": [
{
"output_type": "display_data",
"metadata": {},
"data": { "text/html": "<script>/* runs on paste */</script>" }
}
]
}
]
Users are affected if all of the following are true:
- they run JupyterLab 4.5.0 through 4.6.3, or an application that bundles it such as Notebook 7.5+;
- if running 4.5.2 or newer,
useSystemClipboardForCellsis enabled - it is off by default in 4.5.2+, and always enabled on 4.5.0 and 4.5.1 with no opt-out - they run a Paste Cells command (e.g. from context menu, command palette, shortcut) while attacker-controlled text is in the clipboard; and
pasteCodeCellsWithoutOutputis off, the default, so the pasted cell keeps its outputs
Impact
The script runs in the JupyterLab page, in the same origin and session as the authenticated user, so it can call the Jupyter Server REST API as that user: read and write any file under the server root, start a kernel and run code in it, and open a terminal where terminals are enabled. It runs on paste, without the user executing anything.
Only the output of a code cell can run a script this way. Markdown and raw cells are always sanitized, as the trust documentation states.
The attacker needs no JupyterLab account and no access to the server, only the user's clipboard at the moment of the paste. A web page can replace the text you copy from it, or write the clipboard directly once you have given it permission. Both need you to click or press a key on that page first.
Patches
JupyterLab v4.6.4 and v4.5.11 contain the patch. Cells read from the system clipboard that cannot be traced to the current window no longer carry metadata.trusted into the notebook, so their outputs are sanitized like any other content of unknown origin.
Users of applications that depend on JupyterLab, such as Notebook v7+, should update jupyterlab package too.
Workarounds
On 4.5.2 and later, confirm that the system clipboard is not in use for cells. The setting is off by default; check Settings, Notebook, or the raw value:
{
"@jupyterlab/notebook-extension:tracker": {
"useSystemClipboardForCells": false
}
}
With that setting off, cell copy and paste use JupyterLab's in-application clipboard, which never leaves the page. The cost is that cells can no longer be copied between browser tabs or windows.
On 4.5.0 and 4.5.1 there is no such setting, and every paste reads the system clipboard and upgrade is highly recommended.
Pasting cells without their outputs also stops the script from running, at the cost of discarding outputs on every paste:
{
"@jupyterlab/notebook-extension:tracker": {
"pasteCodeCellsWithoutOutput": true
}
}
- Record
PYSEC-2026-4058- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Updated
- 2026-11-02
OSVPYSEC-2026-4060
8.1
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
Description
JupyterLab 4.5.0 enabled copying and pasing cells through the system clipboard. The paste path parses clipboard text as cell JSON and inserts the cells without clearing metadata.trusted, so a payload can declare its own output as trusted. JupyterLab does not sanitize a trusted output and evaluates the <script> elements it contains, so pasting the cell runs attacker's JavaScript in the JupyterLab origin. The same payload with "trusted": false is sanitized.
[
{
"cell_type": "code",
"execution_count": null,
"source": "",
"metadata": { "trusted": true },
"outputs": [
{
"output_type": "display_data",
"metadata": {},
"data": { "text/html": "<script>/* runs on paste */</script>" }
}
]
}
]
Users are affected if all of the following are true:
- they run JupyterLab 4.5.0 through 4.6.3, or an application that bundles it such as Notebook 7.5+;
- if running 4.5.2 or newer,
useSystemClipboardForCellsis enabled - it is off by default in 4.5.2+, and always enabled on 4.5.0 and 4.5.1 with no opt-out - they run a Paste Cells command (e.g. from context menu, command palette, shortcut) while attacker-controlled text is in the clipboard; and
pasteCodeCellsWithoutOutputis off, the default, so the pasted cell keeps its outputs
Impact
The script runs in the JupyterLab page, in the same origin and session as the authenticated user, so it can call the Jupyter Server REST API as that user: read and write any file under the server root, start a kernel and run code in it, and open a terminal where terminals are enabled. It runs on paste, without the user executing anything.
Only the output of a code cell can run a script this way. Markdown and raw cells are always sanitized, as the trust documentation states.
The attacker needs no JupyterLab account and no access to the server, only the user's clipboard at the moment of the paste. A web page can replace the text you copy from it, or write the clipboard directly once you have given it permission. Both need you to click or press a key on that page first.
Patches
JupyterLab v4.6.4 and v4.5.11 contain the patch. Cells read from the system clipboard that cannot be traced to the current window no longer carry metadata.trusted into the notebook, so their outputs are sanitized like any other content of unknown origin.
Users of applications that depend on JupyterLab, such as Notebook v7+, should update jupyterlab package too.
Workarounds
On 4.5.2 and later, confirm that the system clipboard is not in use for cells. The setting is off by default; check Settings, Notebook, or the raw value:
{
"@jupyterlab/notebook-extension:tracker": {
"useSystemClipboardForCells": false
}
}
With that setting off, cell copy and paste use JupyterLab's in-application clipboard, which never leaves the page. The cost is that cells can no longer be copied between browser tabs or windows.
On 4.5.0 and 4.5.1 there is no such setting, and every paste reads the system clipboard and upgrade is highly recommended.
Pasting cells without their outputs also stops the script from running, at the cost of discarding outputs on every paste:
{
"@jupyterlab/notebook-extension:tracker": {
"pasteCodeCellsWithoutOutput": true
}
}
- Record
PYSEC-2026-4060- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Updated
- 2026-11-02
OSVPYSEC-2026-4112
8.1
JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard
Description
JupyterLab 4.5.0 enabled copying and pasing cells through the system clipboard. The paste path parses clipboard text as cell JSON and inserts the cells without clearing metadata.trusted, so a payload can declare its own output as trusted. JupyterLab does not sanitize a trusted output and evaluates the <script> elements it contains, so pasting the cell runs attacker's JavaScript in the JupyterLab origin. The same payload with "trusted": false is sanitized.
[
{
"cell_type": "code",
"execution_count": null,
"source": "",
"metadata": { "trusted": true },
"outputs": [
{
"output_type": "display_data",
"metadata": {},
"data": { "text/html": "<script>/* runs on paste */</script>" }
}
]
}
]
Users are affected if all of the following are true:
- they run JupyterLab 4.5.0 through 4.6.3, or an application that bundles it such as Notebook 7.5+;
- if running 4.5.2 or newer,
useSystemClipboardForCellsis enabled - it is off by default in 4.5.2+, and always enabled on 4.5.0 and 4.5.1 with no opt-out - they run a Paste Cells command (e.g. from context menu, command palette, shortcut) while attacker-controlled text is in the clipboard; and
pasteCodeCellsWithoutOutputis off, the default, so the pasted cell keeps its outputs
Impact
The script runs in the JupyterLab page, in the same origin and session as the authenticated user, so it can call the Jupyter Server REST API as that user: read and write any file under the server root, start a kernel and run code in it, and open a terminal where terminals are enabled. It runs on paste, without the user executing anything.
Only the output of a code cell can run a script this way. Markdown and raw cells are always sanitized, as the trust documentation states.
The attacker needs no JupyterLab account and no access to the server, only the user's clipboard at the moment of the paste. A web page can replace the text you copy from it, or write the clipboard directly once you have given it permission. Both need you to click or press a key on that page first.
Patches
JupyterLab v4.6.4 and v4.5.11 contain the patch. Cells read from the system clipboard that cannot be traced to the current window no longer carry metadata.trusted into the notebook, so their outputs are sanitized like any other content of unknown origin.
Users of applications that depend on JupyterLab, such as Notebook v7+, should update jupyterlab package too.
Workarounds
On 4.5.2 and later, confirm that the system clipboard is not in use for cells. The setting is off by default; check Settings, Notebook, or the raw value:
{
"@jupyterlab/notebook-extension:tracker": {
"useSystemClipboardForCells": false
}
}
With that setting off, cell copy and paste use JupyterLab's in-application clipboard, which never leaves the page. The cost is that cells can no longer be copied between browser tabs or windows.
On 4.5.0 and 4.5.1 there is no such setting, and every paste reads the system clipboard and upgrade is highly recommended.
Pasting cells without their outputs also stops the script from running, at the cost of discarding outputs on every paste:
{
"@jupyterlab/notebook-extension:tracker": {
"pasteCodeCellsWithoutOutput": true
}
}
- Record
PYSEC-2026-4112- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Updated
- 2026-11-02
OSVUBUNTU-CVE-2026-102831
8.1
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4.
- Record
UBUNTU-CVE-2026-102831- CVSS 3.1
- 8.1 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N - Updated
- 2026-11-02
OSVopenSUSE-SU-2026:11945-1 No score
jupyter-jupyterlab-4.5.11-1.1 on GA media
These are all security issues fixed in the jupyter-jupyterlab-4.5.11-1.1 package on the GA media of openSUSE Tumbleweed.
- Record
openSUSE-SU-2026:11945-1- Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
jupyterlabPyPI |
4.6.0 to 4.6.3 | 4.6.4 |
jupyterlabPyPI |
4.5.0 to 4.5.10 | 4.5.11 |
notebookPyPI |
7.5.0 to 7.6.2 | 7.6.3 |
jupyterlitePyPI |
0.7.0 to 0.8.3 | 0.8.4 |
jupyterlite-corePyPI |
0.7.0 to 0.8.3 | 0.8.4 |
jupyter-notebookDebian:12 |
All versions, plus listed versions 6.4.12-2.26.4.13-16.4.13-26.4.13-36.4.13-4 Show 6 moreShow less6.4.13-57.0.0-17.0.0-27.4.7-17.4.7-27.4.7-3 |
None known |
jupyter-notebookDebian:13 |
All versions, plus listed versions 6.4.13-57.0.0-17.0.0-27.4.7-17.4.7-27.4.7-3 |
None known |
jupyter-notebookDebian:14 |
All versions, plus listed versions 6.4.13-57.0.0-17.0.0-27.4.7-17.4.7-27.4.7-3 |
None known |
jupyterlabPyPI |
4.6.0 up to 4.6.4, plus listed versions 4.6.14.6.24.6.3 |
4.6.4 |
jupyterlabPyPI |
4.5.0 up to 4.5.11, plus listed versions 4.5.14.5.104.5.24.5.34.5.4 Show 5 moreShow less4.5.54.5.64.5.74.5.84.5.9 |
4.5.11 |
Show 14 moreShow less
| Package | Affected | Fixed |
|---|---|---|
notebookPyPI |
7.5.0 up to 7.6.3, plus listed versions 7.5.17.5.27.5.37.5.47.5.5 Show 15 moreShow less7.5.67.5.77.6.07.6.0a07.6.0a17.6.0a27.6.0a37.6.0a47.6.0a57.6.0b07.6.0b17.6.0rc07.6.0rc17.6.17.6.2 |
7.6.3 |
jupyterlitePyPI |
0.7.0 up to 0.8.4, plus listed versions 0.7.10.7.20.7.30.7.40.7.5 Show 11 moreShow less0.7.60.8.00.8.0a00.8.0a10.8.0a20.8.0b00.8.0b10.8.0rc00.8.10.8.20.8.3 |
0.8.4 |
jupyterlite-corePyPI |
0.7.0 up to 0.8.4, plus listed versions 0.7.10.7.20.7.30.7.40.7.5 Show 11 moreShow less0.7.60.8.00.8.0a00.8.0a10.8.0a20.8.0b00.8.0b10.8.0rc00.8.10.8.20.8.3 |
0.8.4 |
jupyterlabPyPI |
4.5.0 up to 4.5.11, 4.6.0 up to 4.6.4, plus listed versions 4.5.14.5.104.5.24.5.34.5.4 Show 8 moreShow less4.5.54.5.64.5.74.5.84.5.94.6.14.6.24.6.3 |
4.5.114.6.4 |
notebookPyPI |
7.5.0 up to 7.6.3, plus listed versions 7.5.17.5.27.5.37.5.47.5.5 Show 16 moreShow less7.5.67.5.77.5.87.6.07.6.0a07.6.0a17.6.0a27.6.0a37.6.0a47.6.0a57.6.0b07.6.0b17.6.0rc07.6.0rc17.6.17.6.2 |
7.6.3 |
jupyter-notebookUbuntu:18.04:LTS |
All versions, plus listed versions 4.2.3-45.1.0-25.2.1-25.2.2-15.2.2-1ubuntu0.1 |
None known |
jupyter-notebookUbuntu:20.04:LTS |
All versions, plus listed versions 5.7.8-16.0.0-16.0.0-26.0.2-16.0.3-16.0.3-26.0.3-2ubuntu0.1 |
None known |
jupyter-notebookUbuntu:Pro:22.04:LTS |
All versions, plus listed versions 6.2.0-16.4.5-26.4.5-36.4.5-46.4.8-16.4.8-1ubuntu0.16.4.8-1ubuntu0.1+esm1 |
None known |
jupyter-notebookUbuntu:Pro:24.04:LTS |
All versions, plus listed versions 6.4.12-2.26.4.12-2.2ubuntu16.4.12-2.2ubuntu1+esm1 |
None known |
jupyter-notebookUbuntu:26.10 |
All versions, plus listed versions 6.4.13-5ubuntu0.1 |
None known |
jupyterlabUbuntu:26.10 |
All versions, plus listed versions 4.0.11+ds1+~cs11.25.27-94.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-34.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4 |
None known |
jupyter-notebookUbuntu:26.04:LTS |
All versions, plus listed versions 6.4.13-5ubuntu0.1 |
None known |
jupyterlabUbuntu:26.04:LTS |
All versions, plus listed versions 4.0.11+ds1+~cs11.25.27-74.0.11+ds1+~cs11.25.27-84.0.11+ds1+~cs11.25.27-9 |
None known |
python-jupyterlabopenSUSE:Tumbleweed From an advisory covering 3 CVEs |
before 4.5.11-1.1 | 4.5.11-1.1 |
History
| Recorded | Changed | Sources |
|---|---|---|
| affected, facts | ||
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2026-102831 is a high vulnerability (CVSS 8.1) in Jupyter Notebook, published September 29, 2026. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.24%, the 14th percentile. Fixed in jupyterlab 4.6.4.
References
github.com/jupyterlab/jupyterlab/security/advisories/GHSA-6966-vjj6-99xv
github.com/jupyterlab/jupyterlab/commit/1a10a7da5ff655849b21581c2633b46483ae0be9
github.com/jupyterlab/jupyterlab/commit/7f9f29e29e0c83fb17b0f11da57d06b3c6a40d96
github.com/jupyterlab/jupyterlab/commit/cf6e89a8d315c4134cefa50c220bca296da466a7
github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11
github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4
Show 14 moreShow less
nvd.nist.gov/vuln/detail/CVE-2026-102831
github.com/advisories/GHSA-6966-vjj6-99xv
github.com/CVEProject/cvelistV5/tree/main/cves/2026/102xxx/CVE-2026-102831.json
security-tracker.debian.org/tracker/CVE-2026-102831
github.com/jupyterlab/jupyterlab
pypi.org/project/jupyterlab
pypi.org/project/jupyterlite
pypi.org/project/jupyterlite-core
pypi.org/project/notebook
ubuntu.com/security/CVE-2026-102831
cve.org/CVERecord?id=CVE-2026-102831
suse.com/security/cve/CVE-2026-102830
suse.com/security/cve/CVE-2026-102831
suse.com/security/cve/CVE-2026-102904