Every CVE Search/ Get API key

CVE-2026-102831

JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard

8.1 HighFix available

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

0.24%Unchanged since Sep 30, 2026
90%50%10%1%

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 HighCVSS: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 HighCVSS: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, useSystemClipboardForCells is 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
  • pasteCodeCellsWithoutOutput is 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 HighCVSS: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 HighCVSS: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 HighCVSS: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 HighCVSS: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, useSystemClipboardForCells is 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
  • pasteCodeCellsWithoutOutput is 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 HighCVSS: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, useSystemClipboardForCells is 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
  • pasteCodeCellsWithoutOutput is 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 HighCVSS: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, useSystemClipboardForCells is 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
  • pasteCodeCellsWithoutOutput is 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 HighCVSS: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, useSystemClipboardForCells is 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
  • pasteCodeCellsWithoutOutput is 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 HighCVSS: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, useSystemClipboardForCells is 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
  • pasteCodeCellsWithoutOutput is 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 HighCVSS: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 HighCVSS: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

Affected packages
PackageAffectedFixed
jupyterlab
PyPI
4.6.0 to 4.6.3
4.6.4
jupyterlab
PyPI
4.5.0 to 4.5.10
4.5.11
notebook
PyPI
7.5.0 to 7.6.2
7.6.3
jupyterlite
PyPI
0.7.0 to 0.8.3
0.8.4
jupyterlite-core
PyPI
0.7.0 to 0.8.3
0.8.4
jupyter-notebook
Debian: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 less
6.4.13-57.0.0-17.0.0-27.4.7-17.4.7-27.4.7-3
None known
jupyter-notebook
Debian: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-notebook
Debian: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
jupyterlab
PyPI
4.6.0 up to 4.6.4, plus listed versions
4.6.14.6.24.6.3
4.6.4
jupyterlab
PyPI
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 less
4.5.54.5.64.5.74.5.84.5.9
4.5.11
Show 14 moreShow less
Affected packages
PackageAffectedFixed
notebook
PyPI
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 less
7.5.67.5.77.6.07.6.0a07.6.0a17.6.0a27.6.0a37.6.0a47.6.0a57.6.0b07.6.0b17.6.0rc07.6.0rc17.6.17.6.2
7.6.3
jupyterlite
PyPI
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 less
0.7.60.8.00.8.0a00.8.0a10.8.0a20.8.0b00.8.0b10.8.0rc00.8.10.8.20.8.3
0.8.4
jupyterlite-core
PyPI
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 less
0.7.60.8.00.8.0a00.8.0a10.8.0a20.8.0b00.8.0b10.8.0rc00.8.10.8.20.8.3
0.8.4
jupyterlab
PyPI
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 less
4.5.54.5.64.5.74.5.84.5.94.6.14.6.24.6.3
4.5.114.6.4
notebook
PyPI
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 less
7.5.67.5.77.5.87.6.07.6.0a07.6.0a17.6.0a27.6.0a37.6.0a47.6.0a57.6.0b07.6.0b17.6.0rc07.6.0rc17.6.17.6.2
7.6.3
jupyter-notebook
Ubuntu: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-notebook
Ubuntu: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-notebook
Ubuntu: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-notebook
Ubuntu: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-notebook
Ubuntu:26.10
All versions, plus listed versions
6.4.13-5ubuntu0.1
None known
jupyterlab
Ubuntu: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-notebook
Ubuntu:26.04:LTS
All versions, plus listed versions
6.4.13-5ubuntu0.1
None known
jupyterlab
Ubuntu: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-jupyterlab
openSUSE:Tumbleweed
From an advisory covering 3 CVEs
before 4.5.11-1.1
4.5.11-1.1

History

History
RecordedChangedSources
affected, facts
first indexedCVE 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

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